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 095DFC433E0 for ; Sat, 25 Jul 2020 07:19:35 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id C885D206F6 for ; Sat, 25 Jul 2020 07:19:34 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1726962AbgGYHSr (ORCPT ); Sat, 25 Jul 2020 03:18:47 -0400 Received: from mga07.intel.com ([134.134.136.100]:51936 "EHLO mga07.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726434AbgGYHSq (ORCPT ); Sat, 25 Jul 2020 03:18:46 -0400 IronPort-SDR: tsw5jgEhG0+VbDIOSP4nsMF3Ppv4achmQmmUvasnt+g6f/JVBrC52kZCqgdtlHFmxn3MMui7rB m0aeEYHtIN7Q== X-IronPort-AV: E=McAfee;i="6000,8403,9692"; a="215393966" X-IronPort-AV: E=Sophos;i="5.75,392,1589266800"; d="gz'50?scan'50,208,50";a="215393966" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga006.fm.intel.com ([10.253.24.20]) by orsmga105.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 25 Jul 2020 00:16:32 -0700 IronPort-SDR: wNMR/Bz/UEA+I1gHZjMxjX6xWYo3BV8rran68CAGlPiSH5Ztrz9PTjKupZy+H6bTkzchykdCR+ TqqA5G6DGyMg== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.75,392,1589266800"; d="gz'50?scan'50,208,50";a="488973528" Received: from lkp-server01.sh.intel.com (HELO df0563f96c37) ([10.239.97.150]) by fmsmga006.fm.intel.com with ESMTP; 25 Jul 2020 00:16:30 -0700 Received: from kbuild by df0563f96c37 with local (Exim 4.92) (envelope-from ) id 1jzEQ1-0000oR-M4; Sat, 25 Jul 2020 07:16:29 +0000 Date: Sat, 25 Jul 2020 15:15:39 +0800 From: kernel test robot To: Gao Xiang Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org, Greg Kroah-Hartman Subject: arch/alpha/include/asm/xchg.h:234:32: sparse: sparse: cast truncates bits from constant value (5f0ecafe becomes fe) Message-ID: <202007251532.y5A10ZoO%lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="3V7upXqbjpZ4EhLz" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --3V7upXqbjpZ4EhLz Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git master head: 23ee3e4e5bd27bdbc0f1785eef7209ce872794c7 commit: 47e4937a4a7ca4184fd282791dfee76c6799966a erofs: move erofs out of staging date: 11 months ago config: alpha-randconfig-s031-20200725 (attached as .config) compiler: alpha-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.2-93-g4c6cbe55-dirty git checkout 47e4937a4a7ca4184fd282791dfee76c6799966a # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=alpha If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) fs/erofs/zdata.c: note: in included file (through arch/alpha/include/asm/cmpxchg.h, arch/alpha/include/asm/atomic.h, include/linux/atomic.h, ...): >> arch/alpha/include/asm/xchg.h:234:32: sparse: sparse: cast truncates bits from constant value (5f0ecafe becomes fe) >> arch/alpha/include/asm/xchg.h:236:32: sparse: sparse: cast truncates bits from constant value (5f0ecafe becomes cafe) >> arch/alpha/include/asm/xchg.h:234:32: sparse: sparse: cast truncates bits from constant value (5f0ecafe becomes fe) >> arch/alpha/include/asm/xchg.h:234:32: sparse: sparse: cast truncates bits from constant value (5f0edead becomes ad) >> arch/alpha/include/asm/xchg.h:236:32: sparse: sparse: cast truncates bits from constant value (5f0ecafe becomes cafe) >> arch/alpha/include/asm/xchg.h:236:32: sparse: sparse: cast truncates bits from constant value (5f0edead becomes dead) vim +234 arch/alpha/include/asm/xchg.h a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 227 a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 228 static __always_inline unsigned long a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 229 ____cmpxchg(, volatile void *ptr, unsigned long old, unsigned long new, a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 230 int size) a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 231 { a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 232 switch (size) { a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 233 case 1: a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 @234 return ____cmpxchg(_u8, ptr, old, new); a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 235 case 2: a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 @236 return ____cmpxchg(_u16, ptr, old, new); a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 237 case 4: a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 238 return ____cmpxchg(_u32, ptr, old, new); a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 239 case 8: a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 240 return ____cmpxchg(_u64, ptr, old, new); a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 241 } a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 242 __cmpxchg_called_with_bad_pointer(); a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 243 return old; a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 244 } a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 245 :::::: The code at line 234 was first introduced by commit :::::: a6209d6d71f2ab8c63cc1587ef65490d83022baf alpha: xchg/cmpxchg cleanup and fixes :::::: TO: Ivan Kokshaysky :::::: CC: Linus Torvalds --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --3V7upXqbjpZ4EhLz Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICAXOG18AAy5jb25maWcAnDzbcuM2su/7Fayk6lRStZPIsi3be8oPIAhKWPFmAJRkv7A0 NmdGFVvySnKS+fvTAG8A1dRsnarNxupuAI3uRt8A5ud//OyRj+PubX3cPK9fX797X8ttuV8f yxfvy+a1/F8vSL0kVR4LuPoNiKPN9uPv39ev79/W3vVvl7+NPu2fr715ud+Wrx7dbb9svn7A 8M1u+4+f/wH/+xmAb+8w0/5fnhn16VXP8Onr87P3y5TSX707PQtQ0jQJ+bSgtOCyAMz99wYE P4oFE5Knyf3d6HI0amkjkkxb1MiaYkZkQWRcTFOVdhPViCURSRGTR58VecITrjiJ+BMLOkIu HoplKuYAMXuYGqG8eofy+PHe8eqLdM6SIk0KGWfWaJiyYMmiIGJaRDzm6v5yrCVRc5HGGY9Y oZhU3ubgbXdHPXFHMGMkYOIEX2OjlJKo2fNPP2HgguT2tv2cR0EhSaQs+oCFJI9UMUulSkjM 7n/6Zbvblr+2BHJJrD3JR7ngGT0B6H9TFQG8ZT9LJV8V8UPOcobuj4pUyiJmcSoeC6IUoTNk n7lkEfftiUkORohQzsiCgazprKLQHJEoanQHuvQOH58P3w/H8q3T3ZQlTHBqVJ2J1GeWvVko OUuXOIbOeOZaTJDGhCen1LHkGm9vxZ4oYH4+DaUrqnL74u2+9JjvT0xB6XO2YImSzW7V5q3c H7ANK07nYKoMdqQ6HpO0mD1pk4zTxGYQgBmskQacIhKvRvEgYr2ZnCn4dFYIJmHlGOwS3d8J u81smWAszhTMmrBmbzTLf1frwx/eEUZ5a5jhcFwfD976+Xn3sT1utl97u4UBBaE0zRPFk6nN my8DrXXKwBCBAj+Hisi5VERJRAKZ5I7Ng4qbExVwSfyIBeiG/4s9mL0KmnsSU2LyWADOXht+ FmwF2sLOhqyI7eE9kN5kO2XNpbt6a+Pz6g/L6uetulJq88TnlRPDRBel2iWFcLR4qO7Ho07l PFFz8FMh69FcXFZCkc/fypcPiCXel3J9/NiXBwOumUawreOfijTPpM0huB86RdXuR/N6AMJ8 hSgknZl40Q4KCReFhUNnFmqIxJ0944HDaw0WQUyGB4VwYp6YQMYFbMHpgCuuKMAqB09BOwl4 KZRARw+ZEThLGHMzRudZCprVrkClgtkMGjmYaHUi747mUYYSlgePQIlCxSZYRB6teAcKhD2b OCwCNy4LEsNsMs0FZVY0FEExfbL9OQB8AIydgxYU0ROqAsCsnpzB0VPa+33l5CFpBl4Rko4i TIX2tPCvmCTUkU6fTMIf2BFvIrAdDjMqsznMHBGlp7aEk4Xdj8ptdL9j8F8cAq9jRXLKVAxe oqgD6xkt/YAC2MRImiM0I0kVUXqpxGn8cDyGneg4Tp5FIUQ2gVt+T0DI7D6RIPc8skQb5oqt ej/htFoCzVKbXvJpQqIwsD0w7MUGmPBtA+QMXJOT9vAU3QFPixwEgB9KEiw4sF9LW6I0sI5P hOBMILuf62GPseOHGliBK7BFG8npQ6n4wtEnGN9ZG9GmZ4JoiB1zYJcFgZ2nV6YOY4o2C2rV ezG6ahKHujzJyv2X3f5tvX0uPfZnuYWwSyB0UB14IQupcox6eDcnGsb/yxkbbhZxNVlhchEw ZssXQDVAFJQSc+fMRcTHT1GU+5gPiFLfMiEYDdoVU9YkJc7cszwMof7ICOBBE1A4gF9Gj1ca 8qjJnOqdu6VQQ0qibEY6BiZXPrfdSmwlHG3yCkWXL8CjA4+O+36ClK+AUIek3ZK4iGyqdKpV RCDdSN5ftuzoOsCUBI0JSJPKtAVcd040480C+EkyFCSirox6+BVu0BXST9P5BSLgeuoFgfy0 MLz2BlLiQw4eMTwyVzRBNp5cncEz/+IH+MkVZACz8ySTH6Dx2F3j+ZSdk120Os9h9JiszqBj IkD75wg4UeQsfk7kOYIEMhQe5bgXrUlSnQadF2OSCq7IHI9HFQm4rbOiyMbzM1hBljMenJtf wNHnJDlH8QNlyB/h9YE8h58RcW4PICAizilDgQzPbWDJoyDkAsuUwH9Y2WDlTApix+/aYBdX fRDJGJWnHmm2BOOeqRNqc6RPz/MDi/NzskHzENPZiMljk9gVYeDUWgYPRSf8VHwKQb1gSV8J TRxiwk8hNscmLe+4duFFmtxfOK2AyzHWdnkCP9/rGVyMb/GW1lMxvsZ9iB41GuMmZWYcjdDF 7ydXVkwTetcLNFY7rt9p5633z982x/JZF4ufXsp3GAAx3Nu96/7loau60yoSsvs3J/FowSdm IePMdEcKNRNQB1vmoXVlBicxr0pdGmcrOpv2aJZgQIXur2VEgGKafl+/lSkVgfJKpIpRiOFN t8RmcsGh6nQbIZrNHlWcBtW6Euych9xq9AEqj5jUuZnJqHVe554iP5fuKUqDQNe6kP0Sqhy2 U92I5FOZwzpJ0EsYTHLck0OSNq0ga++wG4AzcGWU66wqDJ00VbDQbNUk73gHdW7nY23zbErT xafP60P54v1RJXjv+92XzWvVWeqad0BWzJlI+lGnSZHOTNNmLlE+5YnpvlKqC9GTBOsHxtnW lgqqNihDmOWdTP4tY90EHfXU2NerLiyp7rfYVlqj8qQGdxWDPaZC45VFGtQWO1B5VPNIQduO 9UBF0FByvMyp0TqJFkxiNaKvte32BiSVHIzkIWdSuRjdNfDlFAVWzegeHOpPNoWo/uhUOTVS J7JYHWMaTHEAmTWrjrdwJ1766gRQxA+nS0C9W/Qbx/Y+WQA+ijiCNXacrffHjTYjT31/Ly1H B9xAeDX6CBa6HeFon0AKnHQ0WKiCar3F20NTGZ4fGIOvcIY2CEUEx+eMCcXn7ChkkMof0ERB /AMKOeVneYfySgztW+YDArNqahGTs/OzkGOS0Rcwk1sMY9mWxVHtXvq6t+0sfoD0gru2BzAd Qnja3qekXafVqZmBkqdVRy+AoKdZQHZjUc0ffdv0G7AfPtgMu+u1diGTC7uzZzYsM3Cp2i2B f68uXFy8jsU1/hwOHbuEU86GBttId3TXlTWiYn+Xzx/H9efX0lyveqZ7cLROoM+TMFY60Fot oiikVePUJZJUcDsuVvdgaa5OKA3wzTmOV3XnAfNPNQ/x7aTLeGpgDHmm3bwQLMjN3Werr6Et mv3H5dtu/92L19v11/INTbbCiKiqA2YBIN4HTDes4NTbt5JZBGlDpozcIS2Q91dOX6WXfYCT EcQFZbNHSF6CQBSq7Vp0ThSyA4rm0TqpUqnOfJwuB7CpIHuyrXoura00V0Qx7AK4SczK91ej u0lDkTA4ARkTJsmZO31AGjFwyQTOCNY8FZD911e23YgYL6SeNCGOydIUS5me/DzobOHJ5Bbu jU/TioGdZUNNyWacTlvxloZJmk1jSgnIbHsTtXvVpfbCpLwOC0xoqQ1d2U3zrPBZQmcxqZtt tcUOG2WnFdWc4KQ8/rXb/wG5nGW6HQvANMPOVJ5wq3Gsf8HxddRrYAEnuOjUQA93FULlo9um +NUMU5CoPmKlcLWlTvBZ1fynZOBRAhA0OUEhwJ2gTWMgyhL7Vtz8LoIZzXqLabCfpgo3w5pA EIHj9b54xs8hp0I3FuN8hbBZURQqTyCFd8L1YwKOI51zhku7GrhQfBAbpniBX+O6ZfEFtFoK gjeRDI7JAYlVrGmvN6Dtbrs2UBtcD6Ro1oDd6fMgGzZQQyHI8gcUGgt6kUqkj7ihw+rw57S1 NmQ7LQ3NfbtUbdxrg7//6fnj8+b5J3f2OLjulROt1S0mrpkuJrWt6yI0HDBVIKqu6SQcnyIY KIn07ifnVDs5q9sJolyXh5hneIPFYHs2a6MkVye7BlgxEZjsDTrR7SYTk9Vjxk5GV5Z2hlXt aTLdHtEhY+AkGEIj/WG8ZNNJES1/tJ4hA7ePN/hBuvqtF1DReKg32dBAumC6FBBj4sEwB8Qh j9SAT/azM0hwDwGlg05R0gGHKQJciiDmgVsNFaPwaDywgi94MMUyj6qbpY+26a46Hi8YaKsv IpIUt6PxxQOKDhhNBu48ooiOBzZEIlx3q/E1PhXJ8Du2bJYOLT+J0mU20H7mjDG9p2u8l6nl Mfw0JKDYtV6QSP1sItUP++z83Qf1EVOko5OlGUsWcsnVwHXEQup3Y/2rzY5PqGnmw348zgaC l95hIvElZ3I4Q6k4DRi+GU0RXUJeKbUfPkeVUIkH5voJi6bJxMBtukVDIyIlx5yfiXErnfY/ Fu5Nv/8Q9TJE71gejr3OoeFgrqasZ0F1Inoysoewk05LtCQWJBja1oCx+gNXiiHsTwz5jLCY U+yGYskFAz/uvlkKp/owONeelSgaxLYsXw7eced9LmGfumB80cWiB37aEHQlYQPRqb1ue+vr kJV5DnM/6lZccoDi3jGcc7QTrPVxZ+Wr1e+u4eEo7u7cIyhKOJ4fUJbNiojjniYJcUlnEsLL wDWaSfRCHIeFwsaVSDBsXTxatxUiBfaiyNFbSHiULtzwZPQWlH9unksv2G/+rBo/tv932kZV e9gB9X/Ub2WlC+xe7nZAlqVCVXV2Jx4Ak4EIanAyw8xUo4pMxf2pCn+JU+uXuy6HDzkX8z4v p2Zh4QSrSt7qTq55me0Mlwp906FR+r0MYF0miOrJjaeL/pzg54amJODbnGs7qMKi3CBPO8UA e95tj/vdq35Y+dIqvzrK65dSP30BqtIi0+953993+6PVWNZipiRgvSduNtxchgypraFhTq/p hwy4QgkV/P+Fe5/oEGgOzj4GMbys9KOYFXJADpuv2+V6b/jx6A7+kK0gWp7PkrVdWlzurU7Y 9uV9t9m6EgYbC8xTy74xNPCigoXoWzpNB+amqksRh5N2tXb9w1+b4/M33DRsy17WwV0x2p90 eAqbeUrQKkSQjAfcfmJZAQol+c34omtVNXBTsOjMXXdCL62o0RDU5xOiu1oV2udgQmpniwkM mPLEMeYWO+AOuqXyWN/RQen6djpa96ewa4AGH2vmCgqJUJNwiPX75kW3ySuJnmjCks31zQpd M5PFCuuU2EMnt9hm9VA4MXhS3hCJlSG6RLOeAfa7m/rNcx11vLTfLM6ra9wZizK76eqAweOp mfPly0LFmXtl3MCKWF8I49dAiiQBiVL0ViMT1YohF/GSCFZ9c9MoKNzs3/7SB/51Bw5rb/W6 l+bm1Wa9BZk2aKBfwVs3ASslSLuItadulO4FdvLowjpGAME+inxC8bqpG4Jdr7bq62/Oyhch 8C3NTWhzTzBQ7el7zEDwBdpTrNFsIVhPZRqu3VU9FkJtDJkL1i/SREQ+JrQhrb74ab1E+yYx y4tFHsEP4oOTV9y+MBds6lw+VL8LPqYnsKXtgSpQHDvuqh5rXxXVMEmpFe+1p9FPpipLCF2l amRowqLuljNUPQMnyNil/3HwXkxa53xIYYOtRDaFzJLiL0WnibQfR8GvAqyMk8gSsQbG+vuO BtHOXNFzEda4gQWK3F8ho2OFBYhAWVpJQ+cuOtS9djXweR1g9YWTEozZExTz1P+3AwgeExJz ZxVzncNsUQDM0TH8rhrv3e+6vndgOgF33sRWb8D0U7P2FVhGhI4EViZYAyzZ1KBioKBr0GR1 e3tzh3cPG5qL8e0V5vjsdr/p9ZtjGYMUwH21L2uy/e64e969Wq6bS+IMrl9NYA8pkjyK9A+8 kq2J0CfjNBBpbF1i1rQ6jZMyANvh2eV4tbIXfRIEb401g/OYoZ8L1OgoTU93ZaDmxs+8OLq/ 7eOpeMxUasa+nS4ZCB9vG7US8ocemmisnAenHMnV7SkQ9o4Ca7YvJhjOFOLmErNzFlruutVB gwXOOYFSXpt5wdRAk8oU4T9Uuzi7cyFXOuGp+jKLmFkJeVNOL/SzXX29fmIlGtVBDWHVudb5 xHcHHuqH2lT2qEMnwTMg1W/uNh0em7nqqnxzeHa8cyO44Hp8vSogo8fcF0TZ+NH4HNsNzEii Utyq9esWnlLsbCsexoX78sCAblYrK77Btu8ux/JqZL3HgJgUpTKHPAj89YJTO4zOIOxFVigk WSDvbkdjEkmbZy6j8d1odInwVaHGI5tcskSmQkKiGo2vr7EXow2FP7u4uRlZbwhquOHjbuT4 gllMJ5fX2OPXQF5MbsedFGR1cvCyayDUVHVkIYOQ0W6mbJGRhDt363SsXfBJwckYpDGxVWy3 AyoMnLGBd7U1PmJTQrHb4Rofk9Xk9ua6462G313SlXNTVsN5oIrbu1nGJN6Hq8kYgxr8Cj0G vS1ZIvBvLkYnX3NVnzyXf68PHt8ejvuPN/MNzuEb5KMv3nG/3h70PN7rZlt6L3CgNu/6T1tU SvdfUF7+H/Oe2mPE5aVOEREhE30LRHRdkXUfq2+P5asHaYX3P96+fDX/HYZOvz0SnadVaV2D k5SHCHiRZi60c7IQlXz3w4beIrPd4dibrkPS9f4FY2GQfve+34E/O+z2njzC7uxHF7/QVMa/ Wg3GlneL7+ZR2Bk5WUn98sF9nA2/2y/+CiZEqosGqsPQY/dSltGZ5Z70g6fq6x/TxLQTT40R Sq76nTOrM++ThBSEo/blOHinm8oDi239o45g2Wu5PpQwS+kFu2djlOY/tfH75qXU//y2B13p Fvq38vX99832y87bbT39RYgpqu3kK2DFCqoJ/YDWXUs3SXgylS4QorX9wFuDKudxmi1onAR6 l3pqPR+qfhcVTefwW2iGtS6t6WlwGqsNuP2OwahWYqkk0MEC6Mcheu/6M1eIhvbntBquP28v wjab1RJ9/rZ5h9GN1f3++ePrl83ffRnXhSWSgTYf5iLZHgyEzPi8DExdGIZtfg0WaHGFdGDt yftvPDU8DUM/JSLAhIZ0RPujM8Undt+txyq6JGF0Mjb5WR8R8Yvr1SWCiIObK2wEjYPJ1QoT phI8jBjW22rHPt6O6eTuEhs9y9Sl++1bj+Df4INEmiAK5hzhk6vbi5sxCh9fIBs2cGSeRN7e XF1cYyxnAR2PQKz6W4szjLdkCVti08jFco6/p6/xnMdQ4Z2yJiN6N2KTySlGiRjyNmyxBSeg gxXagmxH09sJHY0uGmeYHr+V+yGjrxL+3bH8l/emAxi4WyAH37l+PewgYvznY7MHR/pePm/W r81XGp93sPL7er9+K/vfAzdMXJn+0Tm5aNtFTTRQdDy+uT1FzNTkejLyMbk8BJPrs0LJY5AK alDm3DXuQX/xUIeaU89gPoeAOOB2d7l2xQr97F4PsPJnPbxaq8t+NKx2mie5hWGm5sI7fn8v vV8ghfrjn95x/V7+06PBJ0gBfz31XDKwRURnooKiL5ibIQI17f+j7Em63MZx/it17D7kay3W 4qMsybZS2kqkt7r4VSc1nXpTWV5S6Un/+wFILSQFWvMdshgAF5EgCIIA2MFGUWekJWusVvGK G2HpXlH48RPHc452FEEM/B8NxuQtgiAom91OhlarUJaiWwdaKrWp44PG+cOYNtYWcppmo79N 5/OnUxTi71uTDPs4G6s34WWxgX8IhLGvj3BxucZI/0RJ07XKtwzBe8bnG/WWzUnEftvqzPYm o+6vXZakxjwCFI6l7DSbRkDkFbXxDdikPCSilNpfY6WNCr+qFKH9Q1NXtDFDbKsPVZ9Mbbrj /M/L2yfAfnkHesDdF1AE/36+e8G8A/96+vCs8AnWlezVDViAqmaDWcjKtkJXliK9qL4UY6Fb CTIEPs2P2nQL4EPTFbRrl6i4gPOtC1s/Na6iYbz1k33+bBRlRelRtgqBm/QhHJIP5lh9+Pnj 7evnO5FFRxmn6cyewZqhc+yIth8wf43COaLN82qCIGBTqXIXA8/JvgiyaZLEfGsag6g9O6Wz EQCYCKPMLM79I5HtGlLO/nHGb2b4rMaLIJILRmaf6WfF4C5WsFkDoFLYKjiUxYwclAIb+bHg OWNjYrD2fx3mVnBXqTp1CEilbS0S1vGGvq+SaA6zRYmyHtvCtqyZkgRcqqm2UulF3LLNupJv E4uvC2LnKuocH1nbROzZU/TXCeoboySB5lYvUFJ9tfdBqrG2Psx0aAGVaR1KoxN1zlMJ1Vuo i/p94tO30JJAasy2PsCK0tefhMKxBr9Xh0rVWb9JHxCm1q0ToJ8eu9B7siTIqM1GoDTtQ0Jy GKEO/ZKZMUqwHsPYMckLk4w3bF9sktl32M9Mbb8wjapPRb1p6my0UxTNu69fXv8x16SxEMVq cHqzisYuxtWQ5AcxPwY3iEl1DCjO2oxBbuxjAv+QmVKhe3Qdx6y7/9LrsdwMXzvcsP7r6fX1 z6cP/7774+71+a+nD/8onhjatYf9OC2aGA0rk6WJZimedDt0V23IZBfbAzOCUSUEdUYrOSpq 02T0MOFsCUc914sNDBpKTOpJsZW2kjzP71x/vbr7bQtnrhP8+X1+BsGEHehFqnW3h12bvcW+ NlKwTUsv/ZGiJqOyJnTDLqraebPXQ2moU6bWU9ZV3U+IZkYBhrHFCoj7GtpY/nAQaWntftMW 51ERw5NbLjGrJEXnexJXtFbU8WzDIDMfaW/UnSWUAPrAcmvf8eTUWHxfu8Lqmc8PdP8Afj2K WRFZZy0VHxduIW2t1mVlietOOjOGQYoB9BOeLhAMh8rs5cfb95c/f6I5u3eHSpQ0EJpAGdwJ /8cio3Wb7zFzBddZVp6Hr37aaLdYeUlv6n4auHRQxbHpeE7f/vBLu2/ICHelB0mWtIOz4DCS EoQXJZ0lsY9awS7XV1/OXZ/UPdRCZZJiCLeeg4vBqaghk0poRXmui9kkzevClktMXPlwUpNW K62SR73SvE7GqVsqqydtqLLYdV3rNXuZ1JbcoC0ysEWlqouQUqXUboD4qnmRkHwGi4OG4xc2 2skh4aUt4Kd0rQhLBirA2CZmiUMOcETXD7oCcq03cUxmKFIKb7omyYyltVnRV7ObtEKRSoub TX2mByO1cRwvdo3pd6lURq9UUFF5Xpl3zmrBBR6ED0aHbe17a+o0p5SZvMMp3LE4aMPH94ca XRPhu68tHXmhkhyXSTY7i9hSaDoLjezftbVseGXxcChsEToD0ugjMQj7vGR6WEoPunJ6JYxo mgFGNM2JE3qxZ0XX6REaKYvXvxZWRYopy3QZRyrFahFgyaLWluEur4q6IGXjpGQtCs1M33Jk uHRZUAd8tRQGymkOmaUlPx8DHjIF7by+vDqUuWY12OTeYt/zxz4V/TSQAnKtWwa6Vg07YoW+ yaZUmde0a5qdnoB3R/rTKkX2WsP71l2ShftDcsoLcpUXsReczzSq5nqkfk43lPdHNo3OsUQQ 7+igLIBbxEVxthUBhKURxNiqW9l6BghbGctmva1ch2a9YkfvDO+rhamdDDCT5n6sbGKM3e/o nrH7C+VApTYErSR1ozF+VZ5XVzNMcsIF9sTOgGWnm+gtZYZU+1Oknc5t9yyOV/TOi6jAhWrp +PN79ghFZy4idKONuZBhWKKVv6CaiJIMxCC5cqpLpxlD8LfrWOZqmydlvdBcnfC+sUlcShCt KbLYj70FoQD/xccm9NRZnoXTjmcyDl2vrmvqptJEWb1dkOa1/k3FFdr5/8nP2F87+jbiOZZo M0DdW/2GMKMYbdw/ZbHzi/KJVL/jCOqEtkeKgMzMOAHMCzb32ggAfbOwH8t0N30olKYA7OEI A9xMfsQlx8CQbbFwFHwom53uB/lQJr7hJKDgrDrwQ2lhd2jsnNdXazky+YjawwM6hlWaYvqQ JhFM+vWQWLTnhxRdIG3JKLpqkcs6Pf1rFzqrheWFMag81zSV2PXXljwTiOINvfa62A3XS40B KySMFEYd5h3oSBRLKlCStKQzDPdO8+BKlMzzB7rKpky6LfzR35ywmM0AjvFQ6ZKFghUglfUL 7rXn+FR+b62Ufh9WsLVFMgDKXS9MKKuYxgOsStfu2uLr2xapLeYV61m7ruUUiMjVkuhmTYpG uTNtUGJc7E5aX3mFmRuXp/WgP0iUtO2lyhPL4xLAOjlt8UwxmUNt2ZyKw0InLnXTwnFYU/JP 6fVc7owVPC/L8/1Bv4iQkIVSeokCAyxPIu8Ms6S44SUZL6rUedS3A/h57fZGekYNC3ofTCun XMOVak/Fo5FFTEKup8DGcCOBbyHYZpnFl7ZoW3vaLbZxbTttJUNyjzbNGYbWlp6hLS0pxtrW 8laNUUAYatGD+t2Pl4/Pdwe2GR2fkOr5+WOf8wIxQ/aP5OPTt7fn7/NLkpMheIa0G6AVUEZK JJ/MqpXcACgc118e4PsbeS4AG8wUF7LSSs01pqIUaxiBHawCBGo4BFpQnfRCmDimQdd6ev66 glUB5UeiVjq7gdaQOShZ1jHtkt40QOHG3ZhCqq51KkJNVazCuYX+8ZKpm7CKEpbZvK5HN5Vc ZF+5O71gApXf5slmfscsLeh1/vZpoCKuNk+2u6PqjIZk29qFpckKWnSLSy4iH8l0tmUZKfqO mkoGP6+tEUfWByZ8+/lm9Yss6lZNpSp+Xss808OUBHS7xdyk5SxEWiPChEG29EWSgols0PeV hWslUZVgumGTSHzP4cfz91d8U250b9ImqC/fHFh+ux/vm8ttgvy4hDfkhzLctjwysuR9fpm5 oQ8wkGJtEMT0CwMGEaWkTiT8fkO38MBdJ6D3EY0mWqTx3HCBJuvTbHVhTN+ljZTl/b0l/nMk 2bWW07JGIXjQkoFsJORpEq5c2qNIJYpX7sJUSFZd+LYq9j1aOGg0/gINCKXID9YLRCm9QCeC tnM92pg+0tT5iduSeQ80mIENTVALzTHenJJTQjsATFSHenH+Qatuaf1m6hOIDPqIoMyqD0tn YcZ45V15c0j3RmbZOeWZL/Y7TVo4f1AmJ0VaTUJY/Ly2zCNA+IgKo+CbS0aB0bwA/7YthQTF P2l5kZIVjkg4I+kpoEeSwZePQInMxrM8PRM+L3F7tqTuUzqRozpkMV0orYmZIt/NnYi2+Hhw f/09b6gy0m9J1DxXg0EAB7YyF83fINqkVbCOaLaUFOklaWljmMTjcJkRlgYJsJLtLlMSICts LA4zchxS13Va62sXSHJk5/M5udVTq4zuB3TkqttfM9HhqeHmLo4ZaS23AoJE5F+15HuWBDh9 LO1yiym+X6Sgs1usWcWKDtrdP33/KLLGFH80d2ZkA9qCFU/5ee4Lg0L8vBaxs/JMIPytZ8mQ YFC0UAX4bEBTFAgmFE6HmsCR0C45mYS9d4esYjoTyqqZh7kD6FOjLN2lSEWs0x7fbojOyV1d hR/k4EyJV5Iq14dggFxrBprSnPJargjivDq4zr1LYLZVLMKyRp8kanKnyF1C55Za6qen708f 8OQ7ZT3om+L6AytHW4b1dXxt+UWRutKX0grs01p4QajPRlLiU0oy41NHL/q6eWxsVx7XHaOF iUjTc2Wg99EFMc8JJ80upUhghtkD9ad6QA/XHkuA3/cSIAMQnr9jgNssJVj/kXnSlZdUe1VE ImIvcEig8hCv8LNt1ByOKp104DVHVaC2eFq/tzD6QJRKN0BLJ9RHILVWtTAXBZGfk47G1J2w 1StPR6jYDp/MqvKRhPyg/AzH6cyiV6uECWvxfYej9XJA+8jTIknHvTi2WG8Vsqo5W2JFJFGz Jd2j+yDKL++wEoAIVhLGKyLlRF8VfllZcDJSRFLoCUUUoDLlZq3vLeupR7NiW1h8UAeKNK3P FpvdQOGGBYsst0s9US/h3/NktzSFPekSWZ8DpGWLlLA/3EJ3Fg/oHr1l5bVsl9pI0ZKPL89l xa5IQdQYZpchyE2XKsZcVinvSrExzaZZPKV10AwoIO76d5wJlhEIPfV12Q58YrHM2iwTvSfv rcJFWxVX+Qo1/bpFtektydLguE1Uf7X9CZSCOmu0mP4RKF9+LprKck0xEcqO0voUp+4cMl5q d3uoeMPsUaEO4oEGkQJv2vbRvV/A8yMTW+EwMyn8aZW9RQAKZqYEktA5GWixvRlYnW4FWQCk zsn7NpWsPhwbroYHIXKoWAEN1ek9OXIMcOya82XeQ8Z9/7H1VnZMn91vuvvJj+ZRosfAQi4v Bm8PMJFv7EYZTFCnqE9zRUiaz+BUMDdSqtkHcbTEsRqGotHB8rEnA7YH0vyoJOYAYHU4D8pD 9fP17eXb6/MvjLOHxtNPL98o0S8muttIXRQqLcu8tty49y3MjkIzNHbD7Ne15OnKd0LN/tqj 2jRZByvqElan+DWvtS1qlFhzRJfv9AET78mM9P+Y9FV5TtsyU6fy5hDqX9Gn5EQVz/IVw0F8 5Ibk9a+v31/ePn3+oTEE7D27RnuAewC26ZYCahHMRsVjY6NSj5mEjEwLbXoHnQP4J0y2cCsr sGy0cAM/MKdRgEPazDfizzfwVRYFVK6OHolu8GabcGakrX0CySymC0RiNBp1gSQklnC48fSh lm45wNoHVaCIeS3gHLambcA9PvSpa/geuQ7PZpV07GyPabtG5aIf8n3cPzHrp5yuu98wacbr P3fPn/98/oh3lH/0VO9AG8R0G7/rM5qiEBM7/md9vbBiV4t8uHqGPQNJJcMxSFiZWDQ8sy7y ahKJ+v5pBYXIko8GFfV7W3pTpLzPK7m2FVgjTLw6DFaT+j3aTFUyskWBSfVvvIf7BUL/C2hW gPpDLqin/jKYuG8TrcnsnHYu7bN3lmg+sVLxpGFXOEjOlP8+x8rYG4VHdAbIy/xeC44fhgKf 3DaECylIDI6nM+ILFDKCPogC1CeXm7MQpiO1eoNOJCgJF0g25gvwykcR3+Fb9HWLGwNrLeaE PSNT+bd6oDicIGa39lI2t+zuw+uLTGA3y8sPxdJSPKJ8LxRUs84eKcwPdC8Gkin97BzXL72x P3+JN47fvn6f7yS8hd5+/fBvE9HfUffeGnjJaX2TSbmsfvr4UTx2CmtK1Prj/9TYuXljY9/N PX7IEN0jruK1GDWeuqil5jSnR9Vge6hTw1iCNcH/6CY0hOS+qUvTBPWdSSrKUXHAVmnr+cxR DH0DhsFolVrumhFzdgOHDAAfCHi1Pc9rbJOyUiOIB3iT5mXD9Y8XfcP84skcnrJVVIKKMA0O cJD2AnMPAOHNOCZkBRFXgcoTuN5A0WyNQ+hQpOgeTEdrOcRWA73YJtiFkS8nCOSQ6G1QneWT kp+fvn2D3VPUO5ObohymMzNygwu4NB9oWbKFdi2DpGy9yE5Ju1G/S0DR9mX/rC3HfxyXvq1W P+5WDL2k63QdQAD35SmbdanaxCEjs1LIoU6qJMg8YIdmc5gNAisae8kLS9UjoACOu6w2wlV2 3fYBn/pDoNSsjdqSgD7/+gYSyNiPZa1zFwUdreY1kIN2ug6HBm2E8D7b4tI2EZA5dOSdAB53 /PNs5Hs4LgJ73XBOiAP79PC2SL3YddSxI8ZGroRttjRmWbJ2yCS7EzYwmOp9Uj9euZp9QIBH JU1voGzjiIyiGLFBGBAzgLLJVgqHPwoDx+hBLwDNUZ9dz2vDKW/dDb7gLYPq1SeYJ7DnxhT1 Wk2FIcEP1XlexalEn/HZBx/Sjbsiw6oE+lTFfqDNOTG3YzbK2ZyrVW14rKbI63muuIo4SNfs r3h0R6CEqUbvdJelvmd6MCvPzMz6p89xk94fqLiQ05hn0H33n5deWa2efrxpH3Nyh3fp0NWl UT5pwmTMW6mZolWMe9IU1gk134n6TyJ6o/aSvT79rTt9QZ1SP8YASdr0OJIwOrP9iMdPcQLt UxREbEWIx9XxnRHFH1GlUDNf6kVDY3gmlEdFwagUsRNYC5Pe+jqFrUu+f03V6HUdaRmDKHZs fYli2gChfUrukL6qGokbqQctnR8UBa85oZHpSD4BJXBwotWduhWwXUMyifC/PCEtpSppyVNv HSiWEhXZV2Hri9zqF3sjySSo2VKRzF2OL1EbqZD7YiQOk/VXGuqz3n92aNvyYn6VhEpd04Lb nyrtdfoskXiNe4QclnD6lhmfu7GjNwkHEXO5xnFbxSGp5aNleId8AtqME2pWs6E0sm5I7RUq gc72GoZagRqBwhQDnG2U89PQRwQqdxkYrmcAh+KbBy86a6lZdYQwpluR++yB+pgBnfHrAaYL xh7Z49bHgT7jO/N2pBY0h4Oi4Ua4Xc+Go8fYymiJg4fRAs0OZlSVbgMGysTQszkC9SMvUlfh gLFKg6lOMR03aUruhwHFDQNBlnNhmBNftQqDkOz7oIwRfUDc2pYCQfn4NaW2DxQwzys3OM/5 TyDWZNOI8oLoZstIE/lUMhWFAtRDh+D8auOvIqphqTuSUWQaiSc2DYN5dslhl0vJvHLnXNfx wPF9qtWOr1fBrS85pMx1HGVhG+JO/LweC8XMKkG9FU8e2qVbgsx3Sji29K95ZNHKVVJzavCY gleuoyYw1xGBDRHaEGvdB0xBkcqHQrH2Vg5VK4/OrgWxsiNcuh+ACmlfM4UistUaUePB0igk R1A4vRBwfm7J3mUsJKMOJ7wrG5qXFDIU+kim7FWJAqp4Edxfk4r2qRxotpELmiWlRqgUsbfd zb94GwV+FDCq6S0Hvf/Acf+42fyuDNzY6g0z0ngOo/agkQK27oTqBiBsbiQ9gbwwoe7sB5J9 sQ9dn2CdgscR1ej7dHWLFUGT6VyPfu6nLOo8IdMBjBRCjhH8KhBropt4y+wGBCMjwnNJzhEo 7/bQCZoVJR81itDSJS8kuoRbYuiExOcJjLu2IMKY+gpErentSiEJQ++WBBMUPt1wGK48S8Nh aIm70Wj03s0pfDdak4xSpa3vWCI7xrej0jCgPdHHeahC6tg5oSOf5I4qom93FYJbHwZoYssq q5heE3A+WGjNEnCkENzuDrlsYOOiu2PRvRSCwPOpA65GsaJWpEAQ3N+mceRTKwkRK48UQzVP pZGkYNx0fDNJUw5L6PZnIU20MO9AA2ekW8IPKdYOocjUbVpF5zP1IcJ6u6bWaFtJDyWzAA1G bcWL6J1yU13T7bYlXw4YaDo/8CiFABCxExLfVHQtC1YOVYSVYez65LyVlQdHGsrxQxP15BKS CPT0OZQJbzQX4ZHEj2mh3wvfW5wLJJ4TUZuJFFaxrWJ/tSKzeigkcRgTn9Sec5D79Nt4LVvB cfEWuwFJ4IcRIb0PabbG3FpEvYjySLvxQPFYQpfIsu2pWlAn2J67xAoHMMVbAPZ/UQ0BIr0t /gk3HFNzrHI38qN5q3mVuiv17KwgPNeCCE+eQ2qxmHhjFVULve2J1remUxJt/DXRZ5bug/B8 Rs/ASvWu1PCeraBPHHwY54zkdVZVYUhyOmjqrhdnsSWSdCKDg6Ml46xCE8XeQj0w6vGCFlDU iedQ4cMqgWpFUuC+R59LeBrdkhJ8X6UBsVnxqoWTpAVOMJWAk5odYFbOLa0NCaj1dCySMA4T AsFdz6UK8NjzyUE4xX4U+XRaCZUmdilvBpVi7RLHSYHwMlvL61uKmyAghIyEo4DSvUEUfAky nBObp0SFNXEMBBQsrP3WhslJlLx9U12pUVchX8s+JTzdZ41iZB4ghu/2CK6bU3JpDnoylwEp PeKvwtqd1xgySE3QSI6xz8IhB+tziPpmjhTConN6evvw6ePXv+7a789vL5+fv/58u9t9/fv5 +5evZp6Jvp62y/tmrrvmaK/QlnGANVs+jdU44r0RwYIIiNFFROgTJeS96YxeA8v4xqIueJro 2RZ7Q/9ASC6cPn7kJs1jUXR4TXSTSFCw/3L2bNtt6zr+ip/Oatecs6q75If9QEuyrR3dKsmK 0hcv79TdzZok7krSM+18/RCkLryAbs88tEkAiFcQBEgQqFGikWR0PsEG4BbpfFP6XWBHCAZM OXcYkILojB5E8Nw8kmdFSPeA422C3SllgWtZabsB9FIadwdgMDFvJ2VP4mglcQ+Plvzrr9Pr +fPCPZDjVMxcEQv9WcrMBrqP3uIvwLCK6jj7ZUWZUNeyZJNOfuRGO11XbZttpMdy7UYQIUAS Zyz/lkC6iMkFj8lIiuVPRhR3qk0MiR21qgEsHCoDEa8Zkkmh1DNebNSCaNEohAw/tkvOLikg IEjXMS5KrWChQ8ayx2u65SnEl+/P9+BMOL1e1Q6fi22iJX8AGIm7aO35hrfhQNC6oY2rJRPa cLhUF1nMnY7QI1P2NemcKLTwlsEzmiMke4kN+cEXqn0eo+eqQMGe8VvDoJa/SdZ+aBe3+JMs VvZQO9ZgSJEMBKqL4AKTH7+wwQe3QdtHgMyXUKqYgQ0HITMevUJZsOLFNUwEu9sbEKB4xQ2f j3uM1oHxbFppKttfMD1/RkrHTiPUNhyosQGMbXe88TQUu88CqhCyHgi3MR24lLdZ7MowWgz4 XS0vrGsKY/mK5loBpLynEGpj/lxxUSWi+yAgVLd7gLGLaznM8wLG7LcZG1gah7JLRT/ETz1H gjDELyQWtKi9L9AoUNmWX0Wqk8XgkYdpqCM6Wlsh8lW0dkz95TeaodYAuObUxqALXMO5L0On 5daxN2geRMDDpi3XM98yLythhIDFtwzVDJV3ltERbXo0IjUG8fcSsdrlJIPGfucbjusY/iay sLtfhuNajFpkm8amxEsMnXlhMCivXhii8MXzrRmkjACD39xFlDUddbbAqEeqJZvBt3QpTzau PYJNbQXfxGmjo3883L9czo/n+7eXy/PD/euK+y5mU0gxRI8Ggvml5PRG+PcLkhqj+O8CrMuo 4e66/nDs2pjI0W8Bn9fu2jPPLvgvoB65Y9l5cZAnRPfhhMty2/INCSLYZbuNCQiOCgelP5Nn JwIV7/lnqHRNP7Wa+bRqAzU5s2KFaOuewaPAtJgEn1L9s7XtXNk9KAmV0K4tDeJt7lmukRVH r1TFQoXCbnPbCV0EkReuL7qysJpVZ1oGVNxgAdYPkb7T5lW8L8nO4C/P9JUm+1SVxByjBxpc RJ4pGilHu/a1vXf2tNVg6nvkEbM2xP5lAqzaF1QPC+3IENtAJKJKCX6CxgUFaAPYKdIoRrbC sE/25CzDxRexJk16MQO18/gZNCvmi+k6o7bZAOE1qrwjhgfICy08sz/wmAftoTA4KS3kEFan rSF8y29+QBWOnbK2cKoiMvCKQhVY2KXcQgRWRiReBQuoxHflbV/AlUTJdKqTcAtC3AMF5Lgg 8qTCLRidlHIR+Dv+gnqyKa42bda4kQKM7woUEh/vGFesf/W5I/rcKxgbm4stKX3X933sK1kJ WOBcGcebyXG97/6KibI2X7sWbvBIVIET2ti7h4WICt7AHbDewV4cGlrKcLgZKxJFIfqqRSYR tz4Z46MrQNsXBRTfMkyoIAywAsFu8CMTSjEJJFwUeGhlDBUYv+IWAI6SlUQFifpMqDSRuSOi oqLi1q7xu0h09BNwcW3TsXFwFgFLxMZ2mIVEfWIoYBbfVqToenv4pGYNwsj6KLJQx2aFJkLX PUOtDaKyvkVjssz4xdbQUZphs+AmQ+Fq2W2+823lAlfA0hKs4Pqih7thO3ANrAZKoeP+YuC4 juu45iJAW/6NIvCFN6vQJpztOkacpGRrOMPmOanIv2CqSR2+2rNevmNaEKo6GI+2pwwpqy7b Ziy7xtICs5EK4cvZqwMeGnA55Xw6f344re4vL0hIbP5VTAo4fVs+lrBUn8grqs73JgKILdVR xctMAWmyKxOyTRoBJZzqs6ZBnlCONHaa/tE1EAe5Qb6fccekx0IQ9FmSsnQCS7M4qPdyh1a9 gRBXpM4wtAojSa8+BuEIrsYWWckiyZc7McEwp+gOpRjCiVVepIUD71J44+aOMdw2J+0egpcf Y/ob5rXDyW5L6aELq2xz2MILYASaFHQ6xGugfqMwJkCKgtQyREo/28F9xhK9QfyQDGPy16b9 wxZCNAIyuSsJnK6yUcJ9ZhkZC9nTpuz1PTXvIAUwerkFxIc8VY792VrQz/kZr0Cz1QXE187p G0u9qy0fPndtlVeB5Mo9zukt1SekB44TPMBtsgUtmxl6Uz6cnk+Pl79XXW9q1D4dIIMlz6ao ctuIrFiKrie1AcWAe0yPS6VzbflRgLF5H77+/Ovl4bPcSqW4eHD8CPU/HQeXkNB2PXVsR/CR 5C0x4SgH6J1jSNnFS+SMh78f3k6P0GJ4azpm7pBuq4GvSB/a6PkQIDeHZMriLrM/R2AwWqDY UoZwYme8x6mNecWAsM4PXYWpCgzZ2fJKrTtpr2aLF6IBGL5Pkk2T0RaqrZvgx6LNuAcBzjFe PscYGK/oDKJqEXacSuXYRRayQH05BOrT53Z/7FMsARBUwB7RGUrvsyLWYdK7FQEImxJKzQQc i7oXeFoFTqFLgj6LqXhGQwCymZVHTrripZvmtZHlZ7980Z0/r4oi/tBCpsfTwtGTSsH25lks /5ThXUr80BctQ76VZ15oSb6qPCASQDGdaP7IFq8QpvaPiLmOqSyReCki0FpDhz1jv6kI1vrA QzsVeMeBai1aDVQ+hFaw17/ZUrEsWzkMwQ8ztbHvzj9Or6vs+fXt5fsTi9UDhNGP1bYY95/V u7ZbMZeB92IMm//sQ5HDeXuyluhsPqNUELiAdCqwYRHt1cHkUGQEyCc1ur2EpluQlB1HhB7Z Zut69ziyqTap+mGRNVUdF46l8eTWDrZyHksR0RgOKsbZbRrSoStxJGgObaex1129r8TLDQk8 9s0OcGxxoCzVpB//iELfsmSaT1UOiTb+eFLX8fbh5XwL78DfZWmarmx37b037lLbrEmTrjdu rV2vKmmTIugoWt8CR9ReBqeyuapVucowoFOCFp6pWjEvryB5XqnidP6w3WGN4xu7vq17gSqW R/Cxx9X7rlY0w9Pz/cPj4+nl5xI57+37M/35Tzp8z68X+OXBuad/fXv45+rLy+X5jS7b1/eq Kgl2Q9Oz2I9tmlNlVTOquo6wWDVzHJr0+f7ymdX0+Tz9NtbJomNdWOi2r+fHb/QHhOx7nSJp ke+fHy7CV99eLvfn1/nDp4cfksCfJp8cEjn5+IhISOi5+GKZKdYR6sw+4+31Ohz0DZoK3sCz fWyZCQSOpbeqaGvXdAUzKpKt61rX9Oq49V30tdaCzl2HICOS965jkSx2XLMFeaCddj3NJKSm fhj6GFR8UTWyZO2EbVEPGm9X5d1x022PgBs5pknaecY1e4SQwGdPCRhp//D5fDESU5sVHkCq dXKwi4G9aFD7A+DAQkydEQEak3HkgCaSn5FJiKsfb7rIXuufUjAaOXTGBpqouGktW34VP3Je HgW0EwF26CoIGRthWo7AFKKRseCcmi42ZKGMmKt97/ratz2NXRjY163Rvg6lt9qTtelElmZe dbdrHjpAs00p3DywgJafqkycPbiO7HEjsCYIqZMkwxCODu1QYztmO7K31UJp5+crZYjPHwRw 5KP8H+LLIkSpXWweGQL1VJ/wazdaI2YquYkiQxrXcaj3baS80eH7/+np/HIadw498cZYet1l JYQ1zdWeZMXgsGf2SnUA969JVyBA30TMaNfWJB5A5Tt7Dq96J/CuCXsg8LE3HQtal2kMqs1d 1fuBh9BSqCa3GVRjoaoPAn29AW1oYSWs0R6HDho0Y0aHjsb/FBp4SBUhWnEYYrRR5Af6dFf9 OriywwPaR9Z51dtudJVN+jYIHDObFN26sER/KgHsIlsEIGz0fmnG15b8emVGdBb6gGbB27aD NKS3bKx9veWi1LZO3TaWa9Wxq7FMSe0Cy+YofR/yiypHT08YuvnT90pb03/9m4AQvfsMjntY zQReGu/Mexcl8Ddkq3Yh7aL0ZlY9ciqF9NPWSfT5kaMxJLkJXV2+Jrfr0NY2KQqNrPDYx3N2 nO3j6fWrIPQ0aQxXlWZpDO5HAcLWcDvuBYbd6+GJ6tv/PoOpPqvlsmZYJ3QtuTZR+8oRTMla 9PgPvNT7Cy2WKvHgU4OWCkpe6Dv7djYSk2bFbBWVHo6K4Nkq37e4sfPwen+mds7z+QIx3mWb Qt1mQtdy1aYXvhOutcmTvJ/HZkIysTpLLEf0Jfx/2ju8n3WmtnjxUVRxstHFL1lGXom/v75d nh7+9wyHvdzIU604Rg9hvmv5fYWIBWOHpdMx3U7NZJEj+QKqSMmpUKsgtI3YdRSFBiQ75zJ9 yZCGL4vOUZ3/FSx6MawRyZ67MtZBn3grRLYrOtcKOEjaahvGc4gdy4lMON+yjN95Rlwx5PRD v8Vbw7GhZuaP2Njz2khcRRIW1qb8mlaffxv1dxXItrElbUwazjFVwLCoq7reCgevIPW4IwJa OtUbTWMaRU0b0E87/NvuQNagDaAft5lj+6GpU1m3ttEIsSJRQzcg05QNuWvZzRbHfizsxKbD Jtr7Gn5DO+aJUg+TOKIoej2v4I56O50qTec77Bb/9Y0KxdPL59W719Mbld0Pb+f3ywHUIrng 4K/tNla0FnySRuD4Zl8C9tba+qFSUqC4tkZgQI3cH9r3AWg48v0wXQzie2oGi6KkdW22BrBO 3bNg8P+1eju/0G3vDdJRGbuXNMONXPokI2MnSZQGZmxtye0ro8gLHaWBDDg3j4L+1f7OWFMb 1FOM/xmMhjRllXWurdT/KaeTIz7CX4BrpUv+3vbk6EnTrDmoW/w0+xY2+47OJ2yiEZawFCBs W6C+qEDaZtHFbCKV4h0BsE9bexAdzhjluHwT1bdpQfIhN40tr2pQSyVqwIpl8rBtaMGGckl8 YtXhoVymcnzX0k1IoaNLwFJHESKnE1sfL9pctunP7Nit3hlXh8wJNdUIcOt5RuNHC2MHnRAN /rFgHY35gCcNh8bjksWemAMqpxZ1ZOvrmQrPQR6Ucuh0HqZLSXyLN60a11f4Msk2MPbFBgfH cqkUHAJYXdYjHPd0HgkgqoqZN6FfkVwZ2a4tW2luGqOy2hUVNj4fiUN3sUZlUgr17FQBN13u RK6FAR2doeWQYmxgE5tuiuCCUyWaNQQsGo+C3CgtYclHjoXNtoPygONiIiucTaaupXWWl5e3 ryvydH55uD89f7i5vJxPz6tuWSwfYra9JF1vbBllLseSr7QBXDU+hMUwzCdgbVdbDZuYGpJG /5B8l3SuayniYoT6KFSM18HBdHpUGQRL0FKEOTlEvuNgsCMdDBTeezmy39izKMra5LosEj9d O7a23iJcBDrWbMqyKuTd9x//Ub1dDA8FHHX1sj3ec3XfqmR0+xHKXl2eH3+OWtqHOs/lCuo8 VwQ225lo76jUVtl7QTEDkFuxaTylVZvOK1ZfLi9c79DUHXc93P2psEC52Tu+ynkMip2Ljsha XWUMpjAIvBjwVE5kQPVrDlSWKBi6rsqvbbTLNd6mQNnIZJ93G6osGh4/jIIhCPwfhk5mAzXG fc2dipkajlkygwx2FRm8r5pD6ypLj7Rx1TmaQ9Q+zRUvKr4rX56eLs/CE8l3aelbjmO/v5pU b5Lhlqac1c7EQd3l8vgKqZEo+5wfL99Wz+f/MWrMh6K4O26ld1smo4MVvns5ffsKTzwRvz2y wx4X9TsCOSOF8x8OYD5Ru/rAHD6nJomZ1Ogf7IiIKkeS7wbAk5pKpWHKa4lNHRCxWMJtmm/B xUsu+KZoxzyMOny7mVA/RdSWefymBfhqZ6Jzx4Ks+rThbgv24rmxoPOUsCRWLcu/oPYJ0n0f qa2YgH9GASnuTP2qZUczgHWdMnJ9Qwq0h7u0OLKIG0gXofcmHHzX7sHVDsP281ErHOGNV22r i+aXIPWYpyalehOqaI8EbZbbgXTxNGHKoWbHXOsIs+c1qvFeQjhpNDWTaxBNIR0Yj9+JYLGq hiSpGFxtgbEHhXXXqPNNioSyvyYZSFyv3nHPjfhSTx4b7+kfz18e/v7+coLnlFKLfusDue6y OvQpwTwi2WTSuVYHvKe8YSCnywEcUXdKBgdAHZIcF9fwGRqEhq36Hdk5kpZLgXHWUKl7/JgW B7VtTUwaiEy0Twosgd5MkvdJq377ccDiagFmU8V7jXzMLa1MnEBQkzLNZ+vs4fXb4+nnqj49 nx819mekVBTSUtOmpaOYm1Y8p8SazzH8JPrqx9s0uyPl7ri9o3qI4yWZExDXSuQx5qQZpHW/ gR/rKLJjvMqsLKsccuRa4fpTjL0nWmj/TLJj3tF6i9TyLXViOc1NVu6SrK1zcne8Sax1mIjO BwtdlWdFOhzzOIFfy8OQlRVK12QtpBPYH6sO3t2uCUrVJvDPtuzO8aPw6LtihLeFjv5P2qrM 4mPfD7a1tVyvxPvRkLbepE1zRzeurjpQFoqbNC1x0rsEvO2bIog0dh9JqviGdeLPveWHpcXO WlC6clMdmw0d48S1DExCivZAOaANEjtIUH0HoU3dPXF+VWAauH9ag4XfG6IfRIT8ogVpdlMd Pfe239o7rMst3fvrY/6Rzl1jt4N4N6wRtZbndnaeylE4xfXT0RHMBmpFhiF6+bvQds0hvzuW nev76/B4+3HYSXlPlSUvCRTuMf9TL3PGSFJjUQ43Lw+f/xa9NZj8ZM+vaKNJOYRSli0mLpOy ZZqT0mGq8W2YCpYQPKwBU0WopDmmJfigY1lymYxOdwTSNEAw0KQeIMTQLj1uIt/q3eP2Vm4M 7MF1V7peoHEv7JHHuo0CR+MyuvPTf1mEh+ThFNnacgb9w2ytxJmW8N0+KyFNVhy4tKe2hfod MMKq3WcbMnpd6VqIgscD6zBCKgy2tWd4PjhStGXg0xmLrmlD4Dfk2wqvC4jj5LyJoSU7RvmO a5QaG+s8KDc77UrSZyYNnDRxvdO2633WZvQ/JcyQMhrlXYKmn2TsCbx3p+oaXbI16YGN7URq K6iSYVJ/MmWvaElPdqlhl0nLjtkDx4+HrLlRdg9IQtqQMqkWT4SX09N59df3L1+oupmoXljU 9IiLBHIdLDNFYezF550IWqqZjAVmOkhfJWIAJih5C67fed6A27GKiKv6jpZCNERW0L5vqEog YVpqxKBlAQItCxBiWfNkQKuqJs12JRU5SYaGiJ5qrOpWKjRJt3SvTZOjyPNATCUcJJEVaSEt HcuOLUEhqddo0bRSEaCOQVMpK+7Qyfs6ZbfWrHQYOaatSjXVhaP+TYdwWx0h43JVlpIzOBRx R/UIR1KXRCibXqnBO6IMK8RnZYnLDSNqJyw2nFQ+T16vFDRmtDdFwlkotMTUCM08D3irmqxX qweQIYjOhNVCxUyIX9SWhZ48vnN6R7EkDjwWlOHTkqpseFkT1V3bZR8P8goecTsMyJORYfWR PjWshtnclDrM7c0r0zRS/GoKOBU2pqS7sx3sLpHjlAZRyDHGs9GPWNSRbMQtC1Za2q4sVlxt IajiegapMZUWBInjFLMDgSKTlzH9++iKB9UTTIxGCdyeVlTaZbIIvrlrKgngJluV2QB0rUEM r/ekr6qkMgTmAXRH9SjsahQkB1U/6TamTl5zg5PXhTwF1LQuYMdCYHQTJFRJ6IkU7lhCxoe2 M0QkhZGFkHmGpbspKPt0nq9IyDHck7yqU1Dwq0JuJFwvOIr8G2HszfdOYawJJ7mzQSNbuP8K ZTYpwtGzZtSo0I2f7Sqb0/1/Pz78/fVt9Y8VtWunUFnICStYvexZPzwmzdDs4POikQiX5i74 JZH5XP6C5AHXrpZfyyltFwSP1HT12zlSKvJ5XURrzz7e4sHHFzqS1FEke2UqyBCzGxaaOVDo E9I5La6lULYeJEsauMC1MNVSoVlj1eZ15Ptog+YYkQgOy/A3z7KUp12oqfcdK8xrDLdJAtsK 8dmhKv0Ql9iu9H+MXVtz2ziyft9f4dqXM/MwZ0xK1OVU7QNEUhJi3kyQEuUXVjbxZFwbx6nY UzXZX3/QDV5waSh5stVf40qg0QAa3TPP4BFOH/0/GONjHlJtExAaba4VWovSShoc9+mVlLth OpSyc2kx5iDKttB0ZvzZg+cI27emiYA/ejm7OBl4zciwSNA/fm2SKjRMNgl9miUukafxNtqY 9CRnaXEA+Qn5POvQ8Zyklckt0ntHBgC9ZudcqmMm8Z0RuXmk9Lyo2sZ0hSJUd8BtiNFPBXgz 6dIaQFKmjy37EY7d5uX4CZ8g2HjltKMvswRctdCfC14Tx/1e2O04pfWuFCnCezL8kcHEi+bO zsJRh/WUKgC487Va8Lxfm98VPyJc1TlkxQ296aaA7yvXXrWyE5gvBXxTB5Krqpsmr9rlbdC3 THfeg0Ojyhaw+XWoy97Ylum8UIyDLGmExdt1jy4SrLlhv29HIvacQWJZWVZmlnQDm4pZoz5v hHkQpHqo5izr22AV+YLbTd3lH/ZyqOasCDsygszY6iGKtBSxVpNMELbGrM0gLofGdAavOPZn EbsxNJBF3vSJsMXJLli5VMN/AFYmcT4zS4JNsGJ2zwF5SW0o1GeCMLJW1g9NsLqNHGK4CFZW iUA03wwDOc75ZkHuYSbUiGlZoA/4ULc3n2hWiakIIFSXVSCYNnk8smKXxiva/ADAQytQj+Ox 3XESSbumTnPaw8rAkjNKEcNvBu5SzjCMnkkyWIbaLXnHHh5Iq8hxHgsW2lO+4duwGz6zPb0V RvUuYrrjSbWy6LunYYy649OmsHNKkFyhgmM7dka8iFllZQD9s5cbCkvqmeE6hsG92VqjMgNb T4e2tEOuIZlHS/LxH6IN513lpEEqHmt51BOw59oE9qyStNCuVQvmNhbfOXQm2WIRWl9h12z0 VysTCQ0k4qyMnZUyZrcBaQYwzEmna8vuIjcwxBqDdJMGA2wTOLSVaWM0U+Xe/QxCzjux4qbb +7SJhNUZC61uO2CsMbPnMnbJHKJK7awvmN63LKiMltZcKQtLJuf6sTbKpfhYLg729E/4obSk O9I4SU3eUel56fTsyO6Xg1LvCG7vfKN9QK1RlRYiWKytPlTEwBHN28XG7legenyuAbzPN3Qs NdC11SqobuxevvzPG5jpfXp8A8ur9x8/yp3+0+e3356+3Pzx9O0ZzomVHR8kG06MtZd4Q37W tkAq7QGcIrhE+2uD1M423a39iRQ1t5t9V9aHIAw8UYxhSJUZHcMGwW61XC3JU2UcZywVTV0u 7BEw0tV2wpeYd6BMGo0r8jCyFtoq7o6W6lxzuWQk9i4nT003pgNxu/K2DtHI3zVoBnDiO1/4 bskynKf5FH/ONmFnDeSBqOS2/bnwRKsUpbfAU+cNSS3RS763/MThoD0mv6HVkH7ApAYiUyOH 3EtPqf5hJZF7YjR96wV/SDU/ZziPeJ2eeW19nJHqCvGEm17clGDfn32qjDCvdabMS+NCDpeh dFfu7KynioDD0lvSUZnB1jCpE+REeQDmpR4jZYT2zN6AizK21A/Zd6jEQ4hem3U8rbN2/w5b U1ZlVh4uLsJy2CNURJkSiB/kyrMOg23ebTeLaC0nqxnUx2KuG/CCgFxe7QQiSalGOrnk/K4u cWfdlM64FC/x4LkI5OX+2+Pj64f3nx9v4qqdXr4N5rMz68tXsHJ7JZL8nz2+Be72s56JmrpR 0lkEszfJY9o2yXlHY0J4Eokq4XsaSr0l5Tzec3s/LjGed1iLttOP2a72nbUghwI8yocBhJq4 coSCZfkOMfBjNndSu4tPInFrKco9DMksPaWZOyQBBcWOTAY7gLIQ1PABuChx+0/5ACb55dLD 46ZnO97HxzS+u95iSHHt8Gbg+df4xJ4MgbMIbyCinfJgo5/mXw2cQ6ayyx6CQcoP53begKEh CNys56xpnAOlmc8zKrtmXx0YXQLajcD/FR97QLmrdG7CDbmmzmtc+ZOwtm8bnhElARasbwMf 0nmR1RVkuHElUHSE5CJ3yyDYkPRlRNOjaEnSV7o7S52+JMuNFpsVKYbvoijyHWEgQxZHq5Ao a5eEGwU4me6aXsR+JQNYYrGIMs9zPpOHDMJrcBAdpICIqpyC/Gqb4lmG2fJHtZM8UeC9JDf5 fiYv36514liTvQ3QioxBrjHYW5uJToxuRafHNmBdRwzVAbBtEDR4ESx8h1Mjx5KuzWK5pfME f3pX8+zC23VILK9KRyHoRuzCkQr3Q5PQcaqRCvAFfaUWkiGkWpaKjXPUONJDoosV3dfDhyZf efeYKGyLouzru8WtfdiIay+T+trthigVEanJOQeuExjd0haSBpPHptHg2YaUCzyzIvQcUEVc Gwq5yDfbYNWf42QMJ0BlJHXhYLW51o3AsbbP4jSAnjcIbomROAD+VJuVJ5UEvKkWtytiwg+A P5VsOvMj3nRREP7tBehUchySY7zOVs4RLtLlPoGaK0Cn+MWhycwXAhNiOXie6YecJYLY14wI 3ZIJrdMDhC0gGOBNhdzwVJmKtkFw1PtBzfKoNh7dSog8NF706sCK0kAGwNMUkS+j1ZqaF6Jh i/DK1cPAQnopmhm43AgRypncBodRRNRWAkPgFqc0gNak50uDwz4WHQCpJRFaAzqmDci1ptmz 7WZNvXudOGYfrkTOM0h3/cSwMNw8uHBH1k4sWBiuKTOemUWt0ETegFBa5jnfRIFzlzAipA2Y weDJcuPLck2+gtcZKImBnm4JCYD0NU2nVmOgR8RoQTrxSdHvLjk0AdlQ8RI0BsMjqkmnBwiE bLylq7H15LVd+Xp6S4aG1hnW7s30iPhPuUeWzTVt9AF3lNtVFRITHtbxdUQsrhDlKyK+GtKd 03hACvA2QHqY1Dk2AfHJETCfkZjQNW2vqZjcm90yw2bP3NUaSdTqELM6IfeuM2wCark41Kw6 Eqi4FM0Rrjq0+a4dCapjW564oV2OaPo/NVv+7He47b/AwUdaHJoj+fklY83OJNRCQW5/Qdaz 5aA6/fj6+AEcI0CC+QTAqAxb2pEATDiuW3qVQrSqPGFEEBUtfZaDYAun0l54l2Z3vPDC8REe 8l2Bufx1BS9bX3zZI8YEiVmW+ZNXdZnwu/Tib12MrsX88KWqU4+ZFeDy0x/KAt5JellSeA6/ 98NZGntsdxF+kNX3ooc03/E68eP72p+1zBhfV/oZLv5WnVlmBUI14BNPz3jL46/apcY3P14G DuEz/Gjjx96xXe3/pM2ZF0fmL/cuLQSXs/1K1bIYjYT8eOr/JFlalCf6hAjhUm7Qrs1zNIjP y/bKiMvlt6mvVD9nFwxx5mWoUzWu/TnwuC5FuafPjJGjBCOYK0M3b7OGXx9/RUNHZgKsrJv0 zj/vmVwE0jorr8yNKpUb4Uvhl5mVFE1gZ+vFM1bgm9fYLx+qmlvmQwYsGL/WjOGxrx+v0hRe ul3JoUmZXwJINM3A7s5zEYs8bVFlV5aHOvd/pAM822biinwVOaubd+XlahENvzJhpBQS6ZX5 Bg9VD/4uaI4QfEbZkXqZWljh+0rQj7NRHHKel1dEUseL3N+Gh7Qur/bAwyWR6/uVCSmk0ILw xi0dXQ7X8ayyChjvUAjdY3JDYqpKU4ZwfWEpN4ZbECPZdO+tEUddqBW7vjzGvIdnglLdU88X 53suwJ3YlkBkdXzsj0z0x9jQ2yRGqFyQQtk/YSuACaqh6VoTvfrz++vTB9kf2fvvhv+gqYii rDDDLk7NZ7t6JfDVQH/aeb5qw46n0q7s1FNX6mEVwiDEHV3CpUrp5RcS1qXsbHHmjUf+Ag9E wGxqTssfYGizive+FrZneizmOXVlnEs1qeGmUdtIc68Rh6hCzy/fvou3pw//oaJODmnbQrB9 Kpc0CEM/D6FcSN2w3w12dBNxoDy7JRxfXt/AH8zoVyrxltjwfS6zIlvyDlfOol+Q/nYmtjra aiZLYEonv4Vm0QC/1OOkeZMz01QAU30Ph9iuBhOPQqqz/fEMfp+KQ+q6GgTdxelNTO++9UEy Y00QmkGcFb1Y3IbRlnrGo3CxWC0jZuW2i/PVwnxpPtPJ6zqE8a3VrZUXEkOKuHDyRzf09FXV hG/JUOsTfBt0TrZVzLbRgjpyQNh8WaRyqhbb5ZIgRk5LqijqutHu3MV0h3IzkWi6JJOnIgO6 iUyfHyOZvnWYmx3ZI2WgqlZ/d6DVwu0/Fc3Z/1ncd3IuTsb6VqWec6uKUxxpe1gm4cb0zKp6 oVlEZAQaRJuYQYhuK6smi6OtcdSJZBUiPrLHsBY53iyaiFbvjNjI9ORn4ndNEsoh7WfgYhHs s0Ww9Y76gUOdrVrSA61n/v356ct/fgl+xQWtPuxuhp3RX1/AZxiheNz8Mutsv1ryZwearv3B 8qyT38wigrcwu9elhpG3nskCc3tNigQr7M7Uxubb06dProiE1fJgPJ7RycM7NrucES2laD6W lMmjwZZwcefJ/5hKbXqXMsOHmMFx7dW6wRhXracQFkt9nDcXu4MHmJjcU83Vc5oeX8lgVz59 fQPnsa83b6o/57FRPL798fT5DfzJoQ+2m1+g29/eg3nwr8Z7XqODa1ZA0FxaIzIbiHHZf8wn t5KeUwyDrUgb2ouilRkcKBa+nm1VmNWpBHjBLgTfgTcxeiddN7E3SHmSM/Vq0VBFZqpHrZIM rlMViBepbCY19zeSNjwUR22iSPUjXEDLvV4yy2TbmdSMDlAEUd9zzzoOCU1fDmDbR6dAE9ue S3ClrZj3cpLD5kRWID/kxlyYIbp8KNsOyq6oDsG0upNEqKNDAK50FI5QbPz5CeLOzj3LxKWI +6aDTK3vBC43qc+za/ejsaZmJgbZ7Hmmm8iekWrsjobk1KbDynmqYNsNTuWM4/FkuVxv6JWZ 59CsmPPee3zSBKs70r6pYjU+N63QB+DzTFYu5BCc3+MN5LrEhkdzAQpQOq5Uq4VgB3pzDu5P wSXALpOjlT6l1VmoR9sarhTv70b15kYMjPrgbjl9KgDz6lpQb3ShqH+PwalinhauO0w0kXx9 +ePt5vj96+O33043n/56lLsZwp7yR6xzgaJhUhx4zqbOouIF7KScusSfX+RmSrz89e3Do7G3 Hq+LKHzaHzGe7UrN7H+Kcp0fDRdZo6iRzPQeVGXU2zNsHMBSS2i1YwfltvfxC/hAv0Hwpnov FyJ0fC7cXvwRqzZVsCQUxOb7aBWIVO4/3x4h5Cx1DFGncOQET6vJ6UwkVpl+fX795G7x6koK Zn1EIQHHLL3yIIwC9QCKGRCIrlRs2ngda2fUYpJY4CMAXzmMVsEvUh3AoMzzkqQA2epfxPfX t8fnm/LLTfzn09dfb15BofxDdnxiHuuw588vnyQZTLuJMUfBKp3M8PGjN5mLKl8k317ef/zw 8uxLR+LIUHTV77PB+f3LN37vy+RHrEq9+t+882XgYOrIr6uWf//tpBlHq0TljvM+P9BjYsCL KiVHJJE55n7/1/vPsj+8HUbi85CRq+d0sNc9yR2HXf+BczDWPsWtfj9NpZhORn9qkE3CCNxl nzDs+PimTf28ObxIxi8vhhdyBfWH8jTedJdFkuZM932hM1VpjYboRax70dMZ4ErKfNOuw7An EpXxhMZIDQ+kT6ldc+eUa27k4BZhyi3tmnjW7NO/36TiPsxaLZtprCh2qd2x7XJDHSQMDOYR yUCUm9+FFdx0RnC/7M9w2DjbFZc9kOVMuOSmwIi/Nr1uNtv1gjl0kUeRHgl4II8nwtphoxTf taFTcY8yUDRkaOw81W0a5M/Bv6T70YA1Ztsg7owg2pLaCB4sjdf2QN2zO9fdPhbwAgGliPw5 JJP64BQFEbidjz+OobP26kr+AL+Epu8QIILev2/omxvA8cjItLcxcNHkldsKXt+jh3LX/kMi 4Ix1rpnc1uy5pvjDxkkqFZJPX8icDKf8KvD7stM9GO5KsHVp5J4gtF6qK98XvCrjhlE+y+pU pI3cmcCFY5bpLk8UAvaFF6HNv+p4kerGv19ReM2NHJ/ASXjOQiMO0QIUPFVvF+f9XVkwGMUh sNGdLpPDnb2UUDIHSrc3GI7aCYKOyP17XRsm14DCaOB5t8nv3UsTjQ0c52RzIzyVqDrWh5tC bgWF6bzLAKGx/oJYVR3LQm4ukny1In1PAFsZp1nZwPdNUqEvO+b30fIGKR4z2rIij+mW18zV HdmXj99enj4awSWKpC49l3Yj+3QwwXfFKeG5NlN3GdzEyKXCCrxQwNaHvoLeNZR6DU/W8lQP tsC6YbOjLU5M0/OLkypT/zlJjakT0GNWn4JKnI9y6Hi+efv2/sPTl0/UNabwyBd1sGAbfI3X mG6WYx3gvRdx5FHVcmrjuQLRG/hGTGpUI3N80mQQgpNraztfuQynD+mAkw0ZdJ4KDt/ispVq BuWMGkup0wM33WHK76QhZP6IJ3vaPGwvKAcPaPghK9LhUeg/pniFXz8//k3Fa8lbcH1yWG9D QygAGRZUsoSuz/PhKG3c2BJFaDpNWekuS2zfC/I3CHKnvJkj47l1D6qNpDqeXNPOhwpyp+OY HIwHMea6qdzmPkk1X0kLfeFlGU9YI1dsAYcjQp9AkiR3l6yylKSwJx1xSWQBDryeDeYFZlwK 8JAeU+vSyCPSuK3hUFjXe5ZuhkvQQ+FFJVaF7Msh4Y+KXVrFmul9D0/f7RLtGg1+TS5a527L dzGLj5qaXadcdq1EDHkzEvEtrLFzHhH0isaLPTVItTz7jjVNTeSs9wINUx3wDiFaHPihw17Y Q0MT47U/YcEzN+nYmaHqNP04F0jgoPBqCrtLRjLRHSPkDkFE8OtYrulUEryL4MU7OTO94g1u EEn3umRV0g4OjPbCpSi7gh58b8/V43LTB2TlHXvSMosELiAvHnyPUQXqS2UGUNoL28F5YhO4 IqjbMb03mAKIZt63ZWMsaEiAyw488kHhBm4ZKO0HvPkN/GdWF0YjFNmaeYrYyDVNo+3zpj8F NiG0UsWN9hVY25R7sTQmq6IZpD1KImNcxJZV5bgOSsUEYqroqWcaWEty8OHeyz/XGVh2ZuiC PcvKM8nKiyTtSASCtGAzSDRPZSeU1WVU/+P3H/40nOILJdK+WwSciebcGIAjF015qBnpqHvg cUSnIpc7mFNShRTa8QBCMKS1/dBMs7PSkKki+q5raJ9qa/KbVPh+T04JrpLOIslFuZUqupJD o4wsM54aC/KDZPNIuDbZO8JvrAddtjpDKcXve9b8XjRWvWYdRkgen1w97X0ysmgcqYokv+d4 hOszrW3Q1VS7yNfHvz6+3PxBdSvh8hNJdx49F0HYpOpzFYkVuA/Py4KD3YUJyR15ltS6M7K7 tC70iWjtAuSm36wTEmhlwuLBJYe2ytonfVyn4FTXUOHgD7Ewjls8t/OmLLlQl3Wy9k2a63Kl hisr5/uyxClnRPYj87jk4OJgfZmJOFyGeW9u/Ou8hMBGla7Fzq0ykvxDcucvKfW1NZZSQG+q +q3WVuVad9bI71smjmQup85aCXIOcYsM6Z5bnXqsLMJ90S1d0srKeSA5UQDqoQBqmkhpZzpO VhSwnshA1Y/L3HmTYnJmD+XEpc2nEVzO4LNTioSPMVmGzblZhj/F9yCa5CcqrVXYrdPcntGI 5Frrlw630wsOwz8//3f5T6dk+UuUnodTAwvcb/krUzPTE9lFnHyjvvWNiLSeVJd5igy0KxNs YPkJLXfKzCcBJ4YH/Xx0osZSLDRo3XIAR2Q5b/4VTGtV2oALMVrYFdZ0gd+6boe/DSd4iuLZ FSJovN4Eijh7TtMUe087E67LsgEOb8pB2fHioF2qIEtSEydX8YEJFrQ0AyarodTTQakHxSnc BfFSuydC+Wf9hJ4wOtLxT9wWdRXbv/uDKRYGqn+YxWl19Ehrbi4I8Fvpm5RBJqLg/e4sRyvu 5cb+M9Zc4DpjDNgzWP/TxuvI1VbwNtCP+wY7go7Enqn0qcWMg6/sqvc+OlSMP1G/awMsLhPm kyPMv7BuK49CqRtuyR+zVHx6fdlsou1vwT91GN704mRf6s/MDWTtR9aGcyID25BeFCyW0JPx Joq8yNpf5Io2YrKYqPf5Fou3XqvFldKpB9UWi7dZq5UX2XqQ7cKXZgzuS6eipqzJYnoqMquz pt3kAJPcdsEI6ynTfiOTINSNo20oMCE0PzNJY0GBXc0R8DVxxJ2vOAI/bhx9S6lzUB6wdNwZ wCNAOeYwmrvwdMPSQ7dG213JN31tl45UKn4vgGAdKTVcVpg5oW1lmjW6n6mZXjRpq7smn5C6 ZA0n87rUPMtMr+4jdvj/yo6lqXGc+VdSe9oDOzVhMrPMYQ6y7MTe+IUfELi4QvBCCghUEmqH 79d/3ZJsS1YrO3uCdLf1bEnd6odYAJgT7cPQxCX1ZQRNZCl19vYUaa2/5Gf0mGxoVRfLSATk aIi6mhtRLnUaIT+TmqRx+S/dn9rN+357/LD9QPHg0Q8u/N0U+MpFWTXWidJJq0FRRiCcpRXS F6AdGmV4qhziywrDJwPfqlbdUSoM8SGAGz/E9/VkHLiu0qub3MYHZVVYuEXiSUO9UyS0NUYh HacgiiARF9egmCpYvolDtLBzVx+ao7sBx2UCSsPr5un+9Z/d2cf6ZX32/Lq+f9vuzg7rv1so Z3t/tt0d2wecp7O7t79/k1O3bPe79lk8fdju0Ig4TKEWdDbZ7rbH7fp5+7/usXJVL+iqFXaB L5s0Sw1FUaCytJE5hAdve4eJUxKjDdFJ2xnP6CZ1aHePekeqMbsOGjwwSdbfWu4/3o6vk83r vh0elB+6LomhewuWa6nsDfC5DQ+YTwJtUi9e8igPdSvaGGN/FBouvxrQJi30O/ABRhLaqmvX dGdLmKv1yzy3qZe6ybMrAfVimxQ2Njhm7XIV3MgOrlC4usgbHP1DjGVhXhwIP9zSKn4xn55f GC/pKERax7FFjUC76eIPMf91FcIWZagnEkM63efvd8/bzR9P7cdkI3j0AZ/D+rBYs9AfcVEw 3+aOgFM1B9ynMkH32MIvWWcxZ+/Hx3Z33G7Wx/Z+EuxEq2BlTf7ZHh8n7HB43WwFyl8f11Yz uZ72uhts/SGsji6E84Kdf86z+Gb6RX8wpl9Gi6icnl8QDNChHBqORnT+lU5J2vFKBkfMtxkt pes0UBmlPSiSMriMroiZCBnshFfdDuQJ9/OX13vdeNKNhsdt9pp7NqyyVwon2DvgHjFu8fia 3kRnc8oXUCFzqokromo4fK8LZq//NOyneswLDOPyq3pwrFkfHl0DJSN4RjuiEUTTtY1q8JWk VO+4P7SHo11Dwb+cE7OBYKvm1YrcooG4mn7G5ILWUgiZLq11g+taBIk/I2AEXQTMJrzT7NEp Ep9eRogg42wHvPGywwD+oicA7BZByKZWuwCIRRDgr1NqawcEnQijwyeU922HRPuuly2splWL Yvrd3r+vc9kIKR9s3x4N36B+G7FZHGDoF25vsyytvYi2LsgFGInkEjPqUwCf6rkXZ9fzqDyx i2PUIegsjCics7Ki9USNgFITu3PGsKxK2Fz8tcDLkN0yn2hDyeIS9vsT7VcnAsUWriwsPb7I XZGZPeecHN4qoML2OuR1No+IZavgQ+Rv9/jB2749HKRoPa5ImVpO8MhtRozAxYy82Ow+mVlt E8YWYhrQZGLJIMV6d//6MknfX+7avQwxGqkGPYOXUcNzStj0C28hYsRoDLlHS4zcQa2BQhyn r1EHCqvIvyIMgw3QmTm/IYpF4REfmzxxwzsiLJXo+0vEhcP4OaZDJcHdM2ybcO4iOhBSz6yw 8ibBR5RB90TlF/OzaA4qAzKvvVjRlLXnJKvyhKZZff38veFBUUXziKPFsPcMHGxXS15eoIvO FeKxFElDKfiqGlXI4LINRfzZhVYOVcjV1O6PGCIDEqh8TuSwfditj++g1m0e280T6Ih64Cpa hfSLhMLwFbLx5Y/fNFOdwuNDfkzvtutqIEt9VtyM66OpZdFeLKLmy4om7lxBfqHTMn/A9m6/ BnV6//p+3O5awyMEYwZGFSiMF8HJieGg2kx3jvtwqKY8vwFdPks69y6CJA5SBzYNKpWC0/Bv KHzyDg2TmgWgbyUepjoYvCTFPQ6L7eLxIfDOF7VjZEzfhOYvnuQrHkqjVREYwhgHRQV2Cn3b 5FND1oFVYIlwvImqujH0Zv7lfPQTGCGeo6pn7r4CA4sv8G6o+2iDYGaue4FhxbWL8yQFzCJd 7jdDhhxLH5zKDg+Cii0Hcy1P8FjwLVjqZ4ne+R51i1IPbGax9HHpaiAdCRCK3uQ23PAsGKCa Q4EBJ0tZ3TbySdq++xLSrC4o4UchRdiEbs1U8Ih9mxFlMUdazAFdhcDe7vpK2PDs2jz+lwVT TKaAQ4+bhWFM1xAeIM5JzOqWBEtphILP7LUoLgeZ4WkFEjkm8I0zIzWKDsXr3Av6A6xQQwmX 0CsWj/w4WVlmPIIN4iqA0S2Y5paKOdxgc9DjOyRI5AEwNg2EyzQJCpCKhshkE7FI0TvCiSQQ LG/ki+jm7oM45vtFUzXfZrAwtTFM0DmVx0y4gIRCVNG5SHyJIUau540WsRxnrchLfV+MM8/8 RSzJNDZdoHl821RM+y4qLlEp1cpN8sh4B86PEuM3/Jj7WhWZyPW5gJOt0N2ms7Tqg99fDOjF T/1pWAFCl9QSk9jqD7liHFMWj8Y7zRoZUB7pXggw8MYc411/ujD3Z3XCWgeneZ/eyRUC+rbf 7o5PE5CZJ/cv7eHBNpTI58ZFTh5DNJJgtM3TN5jSJQgTtYonufp72j+dFJc1+prO+llSMpNV wkyzuKD7iWqKH8SMNnR0T7gT3hlqyJzD0GtB2+f2j+P2RQkpB0G6kfC9PWjSw0FJvRYMPZ1r Hhj5GDVsmccRrf9pRP41K+a0GqhReRWdq2Phw1Li+I6lw7UwFffNSY3GMIwMoLybC1DShc/6 j4vp93PdcAQFw1aGoWcJXX4BKoOoAaiIousURB7MUZ54WVyOh9B08QoDjDdFl3DYvByOIvjA WxLdBkAURyktOMqyS+n/hZ6nCau4tk+OMaLnTZbGN/Y0zrOCB8r/RiaJokXhX+WrfklgUmMU t0VsrQ3sDVRy/n58/jmlqGQY7XhYpYOV3Rl0wrW0bGXq8tu794cHQ08RngagZWB6aN2PShaG 2PGWbyI63rNdEoUClUWYL1tXfEy42D5ZOor1GdFgIlknC0i3fIvrFJg4gUz8XB7oo0HssCK1 Gb0mTEL0Bvy3JjYFrwX/u9oCzAe81wXRuahGAz4drQhhQ61xK7a7dUXLh4pxROS+sKBShm0G 0yRLhyrHNtSBsfrjggu5Bj7i2RVmMEMHP4uNylDGnctbcSxkEr9unt7f5MoK17sHPRkdKFN1 Dp9WMBC6qIc5u22kceyAZMsSnTAfZ0D7V2KMS6xhleoDh5U1YZ1i6tuSjha+voS9B3YgP6MP M1e3hwWDdcNWlhlxVgZYNW1qIpF7s7rSW1zC8eCf8HsUeOHNSAmA4mPJYUHq9yGCxpRipcsg yOWil1cDaH3qWWTy++Ftu0OL1OFs8vJ+bH+28E973Hz69MnIgSfLQ2m5roKVI5m34iMiMZPJ 3LKIcWOL69Jw3ZVQFZ0mr+DU/qFrhBjzBixWoTPnWNu+vpZ19R+Sc/5fRkQrG48w2HUx+y+o ATAXUvc9MTBLuWs4x8WMZlJ7OwUsF2OICK+LjLSQEsFBXgLVAs6sPo0H7HzU4WMM4qCHwTaJ eWE68CCGAEL/hOiVICmMfDAICi5159cuWZPRKLMPsGilVFB0SSNHAysjH+HgxOQBVEu64WmC osiKwVdd01PmIFidotZrlZkYaTpy/k+4yHejLzZlbiaLFmqKV8/nRjaOAaicmdH9XMPDgYWX ZzgpSKru4vu2xEvfkZIAvxBMCLut461eQeLEYupP2RFccBZbDLzjoep+Aq8r/04q4x7ATaYO cgePsioD9ebbTJdNzN6GwQrdrU8Mh1QnpZMX6cCmqEqe3+jbk4AvAVFlVACwQAsFbW59JVVa d5sAD5wZ09YyQVHX4zQdOnYlblDceIwLnQPvuSkKvBisUDpy0zhtLwIb+XTuVMmmyxM8fJUI cfhE59H+gsGsJ0Ywp9U/icTr+jATkh+dnn8eYc6SCEiDlIcJIyVSUdY8KhI4TAJrjmUg44lO WFq7yW/CBVHYMiyeS7ITcw+yJ2fAeSdKxiM5spcKfOmQWAEzXlxCjE4bn1UM7QBFnTujh0p8 3jGgllbtleIph8HHFQGoyLA4WqTJyBpsEPUUVj8Entos4jxkXcgNDAOIQ3i7Z1wug4IbBkmt n22j66P/A4Xk9mnkowEA --3V7upXqbjpZ4EhLz-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============8455986978273543757==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: arch/alpha/include/asm/xchg.h:234:32: sparse: sparse: cast truncates bits from constant value (5f0ecafe becomes fe) Date: Sat, 25 Jul 2020 15:15:39 +0800 Message-ID: <202007251532.y5A10ZoO%lkp@intel.com> List-Id: --===============8455986978273543757== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git = master head: 23ee3e4e5bd27bdbc0f1785eef7209ce872794c7 commit: 47e4937a4a7ca4184fd282791dfee76c6799966a erofs: move erofs out of s= taging date: 11 months ago config: alpha-randconfig-s031-20200725 (attached as .config) compiler: alpha-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.2-93-g4c6cbe55-dirty git checkout 47e4937a4a7ca4184fd282791dfee76c6799966a # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-9.3.0 make.cross = C=3D1 CF=3D'-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=3Dalpha = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) fs/erofs/zdata.c: note: in included file (through arch/alpha/include/asm= /cmpxchg.h, arch/alpha/include/asm/atomic.h, include/linux/atomic.h, ...): >> arch/alpha/include/asm/xchg.h:234:32: sparse: sparse: cast truncates bit= s from constant value (5f0ecafe becomes fe) >> arch/alpha/include/asm/xchg.h:236:32: sparse: sparse: cast truncates bit= s from constant value (5f0ecafe becomes cafe) >> arch/alpha/include/asm/xchg.h:234:32: sparse: sparse: cast truncates bit= s from constant value (5f0ecafe becomes fe) >> arch/alpha/include/asm/xchg.h:234:32: sparse: sparse: cast truncates bit= s from constant value (5f0edead becomes ad) >> arch/alpha/include/asm/xchg.h:236:32: sparse: sparse: cast truncates bit= s from constant value (5f0ecafe becomes cafe) >> arch/alpha/include/asm/xchg.h:236:32: sparse: sparse: cast truncates bit= s from constant value (5f0edead becomes dead) vim +234 arch/alpha/include/asm/xchg.h a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 227 = a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 228 static __always_inline unsi= gned long a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 229 ____cmpxchg(, volatile void= *ptr, unsigned long old, unsigned long new, a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 230 int size) a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 231 { a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 232 switch (size) { a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 233 case 1: a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 @234 return ____cmpxchg(_u8, = ptr, old, new); a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 235 case 2: a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 @236 return ____cmpxchg(_u16,= ptr, old, new); a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 237 case 4: a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 238 return ____cmpxchg(_u32,= ptr, old, new); a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 239 case 8: a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 240 return ____cmpxchg(_u64,= ptr, old, new); a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 241 } a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 242 __cmpxchg_called_with_bad_= pointer(); a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 243 return old; a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 244 } a6209d6d71f2ab Ivan Kokshaysky 2009-03-31 245 = :::::: The code at line 234 was first introduced by commit :::::: a6209d6d71f2ab8c63cc1587ef65490d83022baf alpha: xchg/cmpxchg cleanup= and fixes :::::: TO: Ivan Kokshaysky :::::: CC: Linus Torvalds --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============8455986978273543757== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICAXOG18AAy5jb25maWcAnDzbcuM2su/7Fayk6lRStZPIsi3be8oPIAhKWPFmAJRkv7A0NmdG FVvySnKS+fvTAG8A1dRsnarNxupuAI3uRt8A5ud//OyRj+PubX3cPK9fX797X8ttuV8fyxfvy+a1 /F8vSL0kVR4LuPoNiKPN9uPv39ev79/W3vVvl7+NPu2fr715ud+Wrx7dbb9svn7A8M1u+4+f/wH/ +xmAb+8w0/5fnhn16VXP8Onr87P3y5TSX707PQtQ0jQJ+bSgtOCyAMz99wYEP4oFE5Knyf3d6HI0 amkjkkxb1MiaYkZkQWRcTFOVdhPViCURSRGTR58VecITrjiJ+BMLOkIuHoplKuYAMXuYGqG8eofy +PHe8eqLdM6SIk0KGWfWaJiyYMmiIGJaRDzm6v5yrCVRc5HGGY9YoZhU3ubgbXdHPXFHMGMkYOIE X2OjlJKo2fNPP2HgguT2tv2cR0EhSaQs+oCFJI9UMUulSkjM7n/6Zbvblr+2BHJJrD3JR7ngGT0B 6H9TFQG8ZT9LJV8V8UPOcobuj4pUyiJmcSoeC6IUoTNkn7lkEfftiUkORohQzsiCgazprKLQHJEo anQHuvQOH58P3w/H8q3T3ZQlTHBqVJ2J1GeWvVkoOUuXOIbOeOZaTJDGhCen1LHkGm9vxZ4oYH4+ DaUrqnL74u2+9JjvT0xB6XO2YImSzW7V5q3cH7ANK07nYKoMdqQ6HpO0mD1pk4zTxGYQgBmskQac IhKvRvEgYr2ZnCn4dFYIJmHlGOwS3d8Ju81smWAszhTMmrBmbzTLf1frwx/eEUZ5a5jhcFwfD976 +Xn3sT1utl97u4UBBaE0zRPFk6nNmy8DrXXKwBCBAj+Hisi5VERJRAKZ5I7Ng4qbExVwSfyIBeiG /4s9mL0KmnsSU2LyWADOXht+FmwF2sLOhqyI7eE9kN5kO2XNpbt6a+Pz6g/L6uetulJq88TnlRPD RBel2iWFcLR4qO7Ho07lPFFz8FMh69FcXFZCkc/fypcPiCXel3J9/NiXBwOumUawreOfijTPpM0h uB86RdXuR/N6AMJ8hSgknZl40Q4KCReFhUNnFmqIxJ0944HDaw0WQUyGB4VwYp6YQMYFbMHpgCuu KMAqB09BOwl4KZRARw+ZEThLGHMzRudZCprVrkClgtkMGjmYaHUi747mUYYSlgePQIlCxSZYRB6t eAcKhD2bOCwCNy4LEsNsMs0FZVY0FEExfbL9OQB8AIydgxYU0ROqAsCsnpzB0VPa+33l5CFpBl4R ko4iTIX2tPCvmCTUkU6fTMIf2BFvIrAdDjMqsznMHBGlp7aEk4Xdj8ptdL9j8F8cAq9jRXLKVAxe oqgD6xkt/YAC2MRImiM0I0kVUXqpxGn8cDyGneg4Tp5FIUQ2gVt+T0DI7D6RIPc8skQb5oqtej/h tFoCzVKbXvJpQqIwsD0w7MUGmPBtA+QMXJOT9vAU3QFPixwEgB9KEiw4sF9LW6I0sI5PhOBMILuf 62GPseOHGliBK7BFG8npQ6n4wtEnGN9ZG9GmZ4JoiB1zYJcFgZ2nV6YOY4o2C2rVezG6ahKHujzJ yv2X3f5tvX0uPfZnuYWwSyB0UB14IQupcox6eDcnGsb/yxkbbhZxNVlhchEwZssXQDVAFJQSc+fM RcTHT1GU+5gPiFLfMiEYDdoVU9YkJc7cszwMof7ICOBBE1A4gF9Gj1ca8qjJnOqdu6VQQ0qibEY6 BiZXPrfdSmwlHG3yCkWXL8CjA4+O+36ClK+AUIek3ZK4iGyqdKpVRCDdSN5ftuzoOsCUBI0JSJPK tAVcd040480C+EkyFCSirox6+BVu0BXST9P5BSLgeuoFgfy0MLz2BlLiQw4eMTwyVzRBNp5cncEz /+IH+MkVZACz8ySTH6Dx2F3j+ZSdk120Os9h9JiszqBjIkD75wg4UeQsfk7kOYIEMhQe5bgXrUlS nQadF2OSCq7IHI9HFQm4rbOiyMbzM1hBljMenJtfwNHnJDlH8QNlyB/h9YE8h58RcW4PICAizilD gQzPbWDJoyDkAsuUwH9Y2WDlTApix+/aYBdXfRDJGJWnHmm2BOOeqRNqc6RPz/MDi/NzskHzENPZ iMljk9gVYeDUWgYPRSf8VHwKQb1gSV8JTRxiwk8hNscmLe+4duFFmtxfOK2AyzHWdnkCP9/rGVyM b/GW1lMxvsZ9iB41GuMmZWYcjdDF7ydXVkwTetcLNFY7rt9p5633z982x/JZF4ufXsp3GAAx3Nu9 6/7loau60yoSsvs3J/FowSdmIePMdEcKNRNQB1vmoXVlBicxr0pdGmcrOpv2aJZgQIXur2VEgGKa fl+/lSkVgfJKpIpRiOFNt8RmcsGh6nQbIZrNHlWcBtW6Euych9xq9AEqj5jUuZnJqHVe554iP5fu KUqDQNe6kP0Sqhy2U92I5FOZwzpJ0EsYTHLck0OSNq0ga++wG4AzcGWU66wqDJ00VbDQbNUk73gH dW7nY23zbErTxafP60P54v1RJXjv+92XzWvVWeqad0BWzJlI+lGnSZHOTNNmLlE+5YnpvlKqC9GT BOsHxtnWlgqqNihDmOWdTP4tY90EHfXU2NerLiyp7rfYVlqj8qQGdxWDPaZC45VFGtQWO1B5VPNI QduO9UBF0FByvMyp0TqJFkxiNaKvte32BiSVHIzkIWdSuRjdNfDlFAVWzegeHOpPNoWo/uhUOTVS J7JYHWMaTHEAmTWrjrdwJ1766gRQxA+nS0C9W/Qbx/Y+WQA+ijiCNXacrffHjTYjT31/Ly1HB9xA eDX6CBa6HeFon0AKnHQ0WKiCar3F20NTGZ4fGIOvcIY2CEUEx+eMCcXn7ChkkMof0ERB/AMKOeVn eYfySgztW+YDArNqahGTs/OzkGOS0Rcwk1sMY9mWxVHtXvq6t+0sfoD0gru2BzAdQnja3qekXafV qZmBkqdVRy+AoKdZQHZjUc0ffdv0G7AfPtgMu+u1diGTC7uzZzYsM3Cp2i2Bf68uXFy8jsU1/hwO HbuEU86GBttId3TXlTWiYn+Xzx/H9efX0lyveqZ7cLROoM+TMFY60FotoiikVePUJZJUcDsuVvdg aa5OKA3wzTmOV3XnAfNPNQ/x7aTLeGpgDHmm3bwQLMjN3Werr6Etmv3H5dtu/92L19v11/INTbbC iKiqA2YBIN4HTDes4NTbt5JZBGlDpozcIS2Q91dOX6WXfYCTEcQFZbNHSF6CQBSq7Vp0ThSyA4rm 0TqpUqnOfJwuB7CpIHuyrXoura00V0Qx7AK4SczK91eju0lDkTA4ARkTJsmZO31AGjFwyQTOCNY8 FZD911e23YgYL6SeNCGOydIUS5me/DzobOHJ5BbujU/TioGdZUNNyWacTlvxloZJmk1jSgnIbHsT tXvVpfbCpLwOC0xoqQ1d2U3zrPBZQmcxqZtttcUOG2WnFdWc4KQ8/rXb/wG5nGW6HQvANMPOVJ5w q3Gsf8HxddRrYAEnuOjUQA93FULlo9um+NUMU5CoPmKlcLWlTvBZ1fynZOBRAhA0OUEhwJ2gTWMg yhL7Vtz8LoIZzXqLabCfpgo3w5pAEIHj9b54xs8hp0I3FuN8hbBZURQqTyCFd8L1YwKOI51zhku7 GrhQfBAbpniBX+O6ZfEFtFoKgjeRDI7JAYlVrGmvN6Dtbrs2UBtcD6Ro1oDd6fMgGzZQQyHI8gcU Ggt6kUqkj7ihw+rw57S1NmQ7LQ3NfbtUbdxrg7//6fnj8+b5J3f2OLjulROt1S0mrpkuJrWt6yI0 HDBVIKqu6SQcnyIYKIn07ifnVDs5q9sJolyXh5hneIPFYHs2a6MkVye7BlgxEZjsDTrR7SYTk9Vj xk5GV5Z2hlXtaTLdHtEhY+AkGEIj/WG8ZNNJES1/tJ4hA7ePN/hBuvqtF1DReKg32dBAumC6FBBj 4sEwB8Qhj9SAT/azM0hwDwGlg05R0gGHKQJciiDmgVsNFaPwaDywgi94MMUyj6qbpY+26a46Hi8Y aKsvIpIUt6PxxQOKDhhNBu48ooiOBzZEIlx3q/E1PhXJ8Du2bJYOLT+J0mU20H7mjDG9p2u8l6nl Mfw0JKDYtV6QSP1sItUP++z83Qf1EVOko5OlGUsWcsnVwHXEQup3Y/2rzY5PqGnmw348zgaCl95h IvElZ3I4Q6k4DRi+GU0RXUJeKbUfPkeVUIkH5voJi6bJxMBtukVDIyIlx5yfiXErnfY/Fu5Nv/8Q 9TJE71gejr3OoeFgrqasZ0F1Inoysoewk05LtCQWJBja1oCx+gNXiiHsTwz5jLCYU+yGYskFAz/u vlkKp/owONeelSgaxLYsXw7eced9LmGfumB80cWiB37aEHQlYQPRqb1ue+vrkJV5DnM/6lZccoDi 3jGcc7QTrPVxZ+Wr1e+u4eEo7u7cIyhKOJ4fUJbNiojjniYJcUlnEsLLwDWaSfRCHIeFwsaVSDBs XTxatxUiBfaiyNFbSHiULtzwZPQWlH9unksv2G/+rBo/tv932kZVe9gB9X/Ub2WlC+xe7nZAlqVC VXV2Jx4Ak4EIanAyw8xUo4pMxf2pCn+JU+uXuy6HDzkX8z4vp2Zh4QSrSt7qTq55me0Mlwp906FR +r0MYF0miOrJjaeL/pzg54amJODbnGs7qMKi3CBPO8UAe95tj/vdq35Y+dIqvzrK65dSP30BqtIi 0+953993+6PVWNZipiRgvSduNtxchgypraFhTq/phwy4QgkV/P+Fe5/oEGgOzj4GMbys9KOYFXJA Dpuv2+V6b/jx6A7+kK0gWp7PkrVdWlzurU7Y9uV9t9m6EgYbC8xTy74xNPCigoXoWzpNB+amqksR h5N2tXb9w1+b4/M33DRsy17WwV0x2p90eAqbeUrQKkSQjAfcfmJZAQol+c34omtVNXBTsOjMXXdC L62o0RDU5xOiu1oV2udgQmpniwkMmPLEMeYWO+AOuqXyWN/RQen6djpa96ewa4AGH2vmCgqJUJNw iPX75kW3ySuJnmjCks31zQpdM5PFCuuU2EMnt9hm9VA4MXhS3hCJlSG6RLOeAfa7m/rNcx11vLTf LM6ra9wZizK76eqAweOpmfPly0LFmXtl3MCKWF8I49dAiiQBiVL0ViMT1YohF/GSCFZ9c9MoKNzs 3/7SB/51Bw5rb/W6l+bm1Wa9BZk2aKBfwVs3ASslSLuItadulO4FdvLowjpGAME+inxC8bqpG4Jd r7bq62/Oyhch8C3NTWhzTzBQ7el7zEDwBdpTrNFsIVhPZRqu3VU9FkJtDJkL1i/SREQ+JrQhrb74 ab1E+yYxy4tFHsEP4oOTV9y+MBds6lw+VL8LPqYnsKXtgSpQHDvuqh5rXxXVMEmpFe+1p9FPpipL CF2lamRowqLuljNUPQMnyNil/3HwXkxa53xIYYOtRDaFzJLiL0WnibQfR8GvAqyMk8gSsQbG+vuO BtHOXNFzEda4gQWK3F8ho2OFBYhAWVpJQ+cuOtS9djXweR1g9YWTEozZExTz1P+3AwgeExJzZxVz ncNsUQDM0TH8rhrv3e+6vndgOgF33sRWb8D0U7P2FVhGhI4EViZYAyzZ1KBioKBr0GR1e3tzh3cP G5qL8e0V5vjsdr/p9ZtjGYMUwH21L2uy/e64e969Wq6bS+IMrl9NYA8pkjyK9A+8kq2J0CfjNBBp bF1i1rQ6jZMyANvh2eV4tbIXfRIEb401g/OYoZ8L1OgoTU93ZaDmxs+8OLq/7eOpeMxUasa+nS4Z CB9vG7US8ocemmisnAenHMnV7SkQ9o4Ca7YvJhjOFOLmErNzFlruutVBgwXOOYFSXpt5wdRAk8oU 4T9Uuzi7cyFXOuGp+jKLmFkJeVNOL/SzXX29fmIlGtVBDWHVudb5xHcHHuqH2lT2qEMnwTMg1W/u Nh0em7nqqnxzeHa8cyO44Hp8vSogo8fcF0TZ+NH4HNsNzEiiUtyq9esWnlLsbCsexoX78sCAblYr K77Btu8ux/JqZL3HgJgUpTKHPAj89YJTO4zOIOxFVigkWSDvbkdjEkmbZy6j8d1odInwVaHGI5tc skSmQkKiGo2vr7EXow2FP7u4uRlZbwhquOHjbuT4gllMJ5fX2OPXQF5MbsedFGR1cvCyayDUVHVk IYOQ0W6mbJGRhDt363SsXfBJwckYpDGxVWy3AyoMnLGBd7U1PmJTQrHb4Rofk9Xk9ua6462G313S lXNTVsN5oIrbu1nGJN6Hq8kYgxr8Cj0GvS1ZIvBvLkYnX3NVnzyXf68PHt8ejvuPN/MNzuEb5KMv 3nG/3h70PN7rZlt6L3CgNu/6T1tUSvdfUF7+H/Oe2mPE5aVOEREhE30LRHRdkXUfq2+P5asHaYX3 P96+fDX/HYZOvz0SnadVaV2Dk5SHCHiRZi60c7IQlXz3w4beIrPd4dibrkPS9f4FY2GQfve+34E/ O+z2njzC7uxHF7/QVMa/Wg3GlneL7+ZR2Bk5WUn98sF9nA2/2y/+CiZEqosGqsPQY/dSltGZ5Z70 g6fq6x/TxLQTT40RSq76nTOrM++ThBSEo/blOHinm8oDi239o45g2Wu5PpQwS+kFu2djlOY/tfH7 5qXU//y2B13pFvq38vX99832y87bbT39RYgpqu3kK2DFCqoJ/YDWXUs3SXgylS4QorX9wFuDKudx mi1onAR6l3pqPR+qfhcVTefwW2iGtS6t6WlwGqsNuP2OwahWYqkk0MEC6Mcheu/6M1eIhvbntBqu P28vwjab1RJ9/rZ5h9GN1f3++ePrl83ffRnXhSWSgTYf5iLZHgyEzPi8DExdGIZtfg0WaHGFdGDt yftvPDU8DUM/JSLAhIZ0RPujM8Undt+txyq6JGF0Mjb5WR8R8Yvr1SWCiIObK2wEjYPJ1QoTphI8 jBjW22rHPt6O6eTuEhs9y9Sl++1bj+Df4INEmiAK5hzhk6vbi5sxCh9fIBs2cGSeRN7eXF1cYyxn AR2PQKz6W4szjLdkCVti08jFco6/p6/xnMdQ4Z2yJiN6N2KTySlGiRjyNmyxBSeggxXagmxH09sJ HY0uGmeYHr+V+yGjrxL+3bH8l/emAxi4WyAH37l+PewgYvznY7MHR/pePm/Wr81XGp93sPL7er9+ K/vfAzdMXJn+0Tm5aNtFTTRQdDy+uT1FzNTkejLyMbk8BJPrs0LJY5AKalDm3DXuQX/xUIeaU89g PoeAOOB2d7l2xQr97F4PsPJnPbxaq8t+NKx2mie5hWGm5sI7fn8vvV8ghfrjn95x/V7+06PBJ0gB fz31XDKwRURnooKiL5ibIQI17f+j7Em63MZx/it17D7kay3W4qMsybZS2kqkt7r4VSc1nXpTWV5S 6Un/+wFILSQFWvMdshgAF5EgCIIA2MFGUWekJWusVvGKG2HpXlH48RPHc452FEEM/B8NxuQtgiAo m91OhlarUJaiWwdaKrWp44PG+cOYNtYWcppmo79N5/OnUxTi71uTDPs4G6s34WWxgX8IhLGvj3Bx ucZI/0RJ07XKtwzBe8bnG/WWzUnEftvqzPYmo+6vXZakxjwCFI6l7DSbRkDkFbXxDdikPCSilNpf Y6WNCr+qFKH9Q1NXtDFDbKsPVZ9Mbbrj/M/L2yfAfnkHesDdF1AE/36+e8G8A/96+vCs8AnWlezV DViAqmaDWcjKtkJXliK9qL4UY6FbCTIEPs2P2nQL4EPTFbRrl6i4gPOtC1s/Na6iYbz1k33+bBRl RelRtgqBm/QhHJIP5lh9+Pnj7evnO5FFRxmn6cyewZqhc+yIth8wf43COaLN82qCIGBTqXIXA8/J vgiyaZLEfGsag6g9O6WzEQCYCKPMLM79I5HtGlLO/nHGb2b4rMaLIJILRmaf6WfF4C5WsFkDoFLY KjiUxYwclAIb+bHgOWNjYrD2fx3mVnBXqTp1CEilbS0S1vGGvq+SaA6zRYmyHtvCtqyZkgRcqqm2 UulF3LLNupJvE4uvC2LnKuocH1nbROzZU/TXCeoboySB5lYvUFJ9tfdBqrG2Psx0aAGVaR1KoxN1 zlMJ1Vuoi/p94tO30JJAasy2PsCK0tefhMKxBr9Xh0rVWb9JHxCm1q0ToJ8eu9B7siTIqM1GoDTt Q0JyGKEO/ZKZMUqwHsPYMckLk4w3bF9sktl32M9Mbb8wjapPRb1p6my0UxTNu69fXv8x16SxEMVq cHqzisYuxtWQ5AcxPwY3iEl1DCjO2oxBbuxjAv+QmVKhe3Qdx6y7/9LrsdwMXzvcsP7r6fX1z6cP /7774+71+a+nD/8onhjatYf9OC2aGA0rk6WJZimedDt0V23IZBfbAzOCUSUEdUYrOSpq02T0MOFs CUc914sNDBpKTOpJsZW2kjzP71x/vbr7bQtnrhP8+X1+BsGEHehFqnW3h12bvcW+NlKwTUsv/ZGi JqOyJnTDLqraebPXQ2moU6bWU9ZV3U+IZkYBhrHFCoj7GtpY/nAQaWntftMW51ERw5NbLjGrJEXn exJXtFbU8WzDIDMfaW/UnSWUAPrAcmvf8eTUWHxfu8Lqmc8PdP8Afj2KWRFZZy0VHxduIW2t1mVl ietOOjOGQYoB9BOeLhAMh8rs5cfb95c/f6I5u3eHSpQ0EJpAGdwJ/8cio3Wb7zFzBddZVp6Hr37a aLdYeUlv6n4auHRQxbHpeE7f/vBLu2/ICHelB0mWtIOz4DCSEoQXJZ0lsY9awS7XV1/OXZ/UPdRC ZZJiCLeeg4vBqaghk0poRXmui9kkzevClktMXPlwUpNWK62SR73SvE7GqVsqqydtqLLYdV3rNXuZ 1JbcoC0ysEWlqouQUqXUboD4qnmRkHwGi4OG4xc22skh4aUt4Kd0rQhLBirA2CZmiUMOcETXD7oC cq03cUxmKFIKb7omyYyltVnRV7ObtEKRSoubTX2mByO1cRwvdo3pd6lURq9UUFF5Xpl3zmrBBR6E D0aHbe17a+o0p5SZvMMp3LE4aMPH94caXRPhu68tHXmhkhyXSTY7i9hSaDoLjezftbVseGXxcChs EToD0ugjMQj7vGR6WEoPunJ6JYxomgFGNM2JE3qxZ0XX6REaKYvXvxZWRYopy3QZRyrFahFgyaLW luEur4q6IGXjpGQtCs1M33JkuHRZUAd8tRQGymkOmaUlPx8DHjIF7by+vDqUuWY12OTeYt/zxz4V /TSQAnKtWwa6Vg07YoW+yaZUmde0a5qdnoB3R/rTKkX2WsP71l2ShftDcsoLcpUXsReczzSq5nqk fk43lPdHNo3OsUQQ7+igLIBbxEVxthUBhKURxNiqW9l6BghbGctmva1ch2a9YkfvDO+rhamdDDCT 5n6sbGKM3e/onrH7C+VApTYErSR1ozF+VZ5XVzNMcsIF9sTOgGWnm+gtZYZU+1Oknc5t9yyOV/TO i6jAhWrp+PN79ghFZy4idKONuZBhWKKVv6CaiJIMxCC5cqpLpxlD8LfrWOZqmydlvdBcnfC+sUlc ShCtKbLYj70FoQD/xccm9NRZnoXTjmcyDl2vrmvqptJEWb1dkOa1/k3FFdr5/8nP2F87+jbiOZZo M0DdW/2GMKMYbdw/ZbHzi/KJVL/jCOqEtkeKgMzMOAHMCzb32ggAfbOwH8t0N30olKYA7OEIA9xM fsQlx8CQbbFwFHwom53uB/lQJr7hJKDgrDrwQ2lhd2jsnNdXazky+YjawwM6hlWaYvqQJhFM+vWQ WLTnhxRdIG3JKLpqkcs6Pf1rFzqrheWFMag81zSV2PXXljwTiOINvfa62A3XS40BKySMFEYd5h3o SBRLKlCStKQzDPdO8+BKlMzzB7rKpky6LfzR35ywmM0AjvFQ6ZKFghUglfUL7rXn+FR+b62Ufh9W sLVFMgDKXS9MKKuYxgOsStfu2uLr2xapLeYV61m7ruUUiMjVkuhmTYpGuTNtUGJc7E5aX3mFmRuX p/WgP0iUtO2lyhPL4xLAOjlt8UwxmUNt2ZyKw0InLnXTwnFYU/JP6fVc7owVPC/L8/1Bv4iQkIVS eokCAyxPIu8Ms6S44SUZL6rUedS3A/h57fZGekYNC3ofTCunXMOVak/Fo5FFTEKup8DGcCOBbyHY ZpnFl7ZoW3vaLbZxbTttJUNyjzbNGYbWlp6hLS0pxtrW8laNUUAYatGD+t2Pl4/Pdwe2GR2fkOr5 +WOf8wIxQ/aP5OPTt7fn7/NLkpMheIa0G6AVUEZKJJ/MqpXcACgc118e4PsbeS4AG8wUF7LSSs01 pqIUaxiBHawCBGo4BFpQnfRCmDimQdd6ev66glUB5UeiVjq7gdaQOShZ1jHtkt40QOHG3ZhCqq51 KkJNVazCuYX+8ZKpm7CKEpbZvK5HN5VcZF+5O71gApXf5slmfscsLeh1/vZpoCKuNk+2u6PqjIZk 29qFpckKWnSLSy4iH8l0tmUZKfqOmkoGP6+tEUfWByZ8+/lm9Yss6lZNpSp+Xss808OUBHS7xdyk 5SxEWiPChEG29EWSgols0PeVhWslUZVgumGTSHzP4cfz91d8U250b9ImqC/fHFh+ux/vm8ttgvy4 hDfkhzLctjwysuR9fpm5oQ8wkGJtEMT0CwMGEaWkTiT8fkO38MBdJ6D3EY0mWqTx3HCBJuvTbHVh TN+ljZTl/b0l/nMk2bWW07JGIXjQkoFsJORpEq5c2qNIJYpX7sJUSFZd+LYq9j1aOGg0/gINCKXI D9YLRCm9QCeCtnM92pg+0tT5iduSeQ80mIENTVALzTHenJJTQjsATFSHenH+Qatuaf1m6hOIDPqI oMyqD0tnYcZ45V15c0j3RmbZOeWZL/Y7TVo4f1AmJ0VaTUJY/Ly2zCNA+IgKo+CbS0aB0bwA/7Yt hQTFP2l5kZIVjkg4I+kpoEeSwZePQInMxrM8PRM+L3F7tqTuUzqRozpkMV0orYmZIt/NnYi2+Hhw f/09b6gy0m9J1DxXg0EAB7YyF83fINqkVbCOaLaUFOklaWljmMTjcJkRlgYJsJLtLlMSICtsLA4z chxS13Va62sXSHJk5/M5udVTq4zuB3TkqttfM9HhqeHmLo4ZaS23AoJE5F+15HuWBDh9LO1yiym+ X6Sgs1usWcWKDtrdP33/KLLGFH80d2ZkA9qCFU/5ee4Lg0L8vBaxs/JMIPytZ8mQYFC0UAX4bEBT FAgmFE6HmsCR0C45mYS9d4esYjoTyqqZh7kD6FOjLN2lSEWs0x7fbojOyV1dhR/k4EyJV5Iq14dg gFxrBprSnPJargjivDq4zr1LYLZVLMKyRp8kanKnyF1C55Za6qen708f8OQ7ZT3om+L6AytHW4b1 dXxt+UWRutKX0grs01p4QajPRlLiU0oy41NHL/q6eWxsVx7XHaOFiUjTc2Wg99EFMc8JJ80upUhg htkD9ad6QA/XHkuA3/cSIAMQnr9jgNssJVj/kXnSlZdUe1VEImIvcEig8hCv8LNt1ByOKp104DVH VaC2eFq/tzD6QJRKN0BLJ9RHILVWtTAXBZGfk47G1J2w1StPR6jYDp/MqvKRhPyg/AzH6cyiV6uE CWvxfYej9XJA+8jTIknHvTi2WG8Vsqo5W2JFJFGzJd2j+yDKL++wEoAIVhLGKyLlRF8VfllZcDJS RFLoCUUUoDLlZq3vLeupR7NiW1h8UAeKNK3PFpvdQOGGBYsst0s9US/h3/NktzSFPekSWZ8DpGWL lLA/3EJ3Fg/oHr1l5bVsl9pI0ZKPL89lxa5IQdQYZpchyE2XKsZcVinvSrExzaZZPKV10AwoIO76 d5wJlhEIPfV12Q58YrHM2iwTvSfvrcJFWxVX+Qo1/bpFtektydLguE1Uf7X9CZSCOmu0mP4RKF9+ LprKck0xEcqO0voUp+4cMl5qd3uoeMPsUaEO4oEGkQJv2vbRvV/A8yMTW+EwMyn8aZW9RQAKZqYE ktA5GWixvRlYnW4FWQCkzsn7NpWsPhwbroYHIXKoWAEN1ek9OXIMcOya82XeQ8Z9/7H1VnZMn91v uvvJj+ZRosfAQi4vBm8PMJFv7EYZTFCnqE9zRUiaz+BUMDdSqtkHcbTEsRqGotHB8rEnA7YH0vyo JOYAYHU4D8pD9fP17eXb6/MvjLOHxtNPL98o0S8muttIXRQqLcu8tty49y3MjkIzNHbD7Ne15OnK d0LN/tqj2jRZByvqElan+DWvtS1qlFhzRJfv9AET78mM9P+Y9FV5TtsyU6fy5hDqX9Gn5EQVz/IV w0F85Ibk9a+v31/ePn3+oTEE7D27RnuAewC26ZYCahHMRsVjY6NSj5mEjEwLbXoHnQP4J0y2cCsr sGy0cAM/MKdRgEPazDfizzfwVRYFVK6OHolu8GabcGakrX0CySymC0RiNBp1gSQklnC48fShlm45 wNoHVaCIeS3gHLambcA9PvSpa/geuQ7PZpV07GyPabtG5aIf8n3cPzHrp5yuu98wacbrP3fPn/98 /oh3lH/0VO9AG8R0G7/rM5qiEBM7/md9vbBiV4t8uHqGPQNJJcMxSFiZWDQ8sy7yahKJ+v5pBYXI ko8GFfV7W3pTpLzPK7m2FVgjTLw6DFaT+j3aTFUyskWBSfVvvIf7BUL/C2hWgPpDLqin/jKYuG8T rcnsnHYu7bN3lmg+sVLxpGFXOEjOlP8+x8rYG4VHdAbIy/xeC44fhgKf3DaECylIDI6nM+ILFDKC PogC1CeXm7MQpiO1eoNOJCgJF0g25gvwykcR3+Fb9HWLGwNrLeaEPSNT+bd6oDicIGa39lI2t+zu w+uLTGA3y8sPxdJSPKJ8LxRUs84eKcwPdC8Gkin97BzXL72xP3+JN47fvn6f7yS8hd5+/fBvE9Hf UffeGnjJaX2TSbmsfvr4UTx2CmtK1Prj/9TYuXljY9/NPX7IEN0jruK1GDWeuqil5jSnR9Vge6hT w1iCNcH/6CY0hOS+qUvTBPWdSSrKUXHAVmnr+cxRDH0DhsFolVrumhFzdgOHDAAfCHi1Pc9rbJOy UiOIB3iT5mXD9Y8XfcP84skcnrJVVIKKMA0OcJD2AnMPAOHNOCZkBRFXgcoTuN5A0WyNQ+hQpOge TEdrOcRWA73YJtiFkS8nCOSQ6G1QneWTkp+fvn2D3VPUO5ObohymMzNygwu4NB9oWbKFdi2DpGy9 yE5Ju1G/S0DR9mX/rC3HfxyXvq1WP+5WDL2k63QdQAD35SmbdanaxCEjs1LIoU6qJMg8YIdmc5gN Aisae8kLS9UjoACOu6w2wlV23fYBn/pDoNSsjdqSgD7/+gYSyNiPZa1zFwUdreY1kIN2ug6HBm2E 8D7b4tI2EZA5dOSdAB53/PNs5Hs4LgJ73XBOiAP79PC2SL3YddSxI8ZGroRttjRmWbJ2yCS7EzYw mOp9Uj9euZp9QIBHJU1voGzjiIyiGLFBGBAzgLLJVgqHPwoDx+hBLwDNUZ9dz2vDKW/dDb7gLYPq 1SeYJ7DnxhT1Wk2FIcEP1XlexalEn/HZBx/Sjbsiw6oE+lTFfqDNOTG3YzbK2ZyrVW14rKbI63mu uIo4SNfsr3h0R6CEqUbvdJelvmd6MCvPzMz6p89xk94fqLiQ05hn0H33n5deWa2efrxpH3Nyh3fp 0NWlUT5pwmTMW6mZolWMe9IU1gk134n6TyJ6o/aSvT79rTt9QZ1SP8YASdr0OJIwOrP9iMdPcQLt UxREbEWIx9XxnRHFH1GlUDNf6kVDY3gmlEdFwagUsRNYC5Pe+jqFrUu+f03V6HUdaRmDKHZsfYli 2gChfUrukL6qGokbqQctnR8UBa85oZHpSD4BJXBwotWduhWwXUMyifC/PCEtpSppyVNvHSiWEhXZ V2Hri9zqF3sjySSo2VKRzF2OL1EbqZD7YiQOk/VXGuqz3n92aNvyYn6VhEpd04LbnyrtdfoskXiN e4QclnD6lhmfu7GjNwkHEXO5xnFbxSGp5aNleId8AtqME2pWs6E0sm5I7RUqgc72GoZagRqBwhQD nG2U89PQRwQqdxkYrmcAh+KbBy86a6lZdYQwpluR++yB+pgBnfHrAaYLxh7Z49bHgT7jO/N2pBY0 h4Oi4Ua4Xc+Go8fYymiJg4fRAs0OZlSVbgMGysTQszkC9SMvUlfhgLFKg6lOMR03aUruhwHFDQNB lnNhmBNftQqDkOz7oIwRfUDc2pYCQfn4NaW2DxQwzys3OM/5TyDWZNOI8oLoZstIE/lUMhWFAtRD h+D8auOvIqphqTuSUWQaiSc2DYN5dslhl0vJvHLnXNfxwPF9qtWOr1fBrS85pMx1HGVhG+JO/Lwe C8XMKkG9FU8e2qVbgsx3Sji29K95ZNHKVVJzavCYgleuoyYw1xGBDRHaEGvdB0xBkcqHQrH2Vg5V K4/OrgWxsiNcuh+ACmlfM4UistUaUePB0igkR1A4vRBwfm7J3mUsJKMOJ7wrG5qXFDIU+kim7FWJ Aqp4Edxfk4r2qRxotpELmiWlRqgUsbfdzb94GwV+FDCq6S0Hvf/Acf+42fyuDNzY6g0z0ngOo/ag kQK27oTqBiBsbiQ9gbwwoe7sB5J9sQ9dn2CdgscR1ej7dHWLFUGT6VyPfu6nLOo8IdMBjBRCjhH8 KhBropt4y+wGBCMjwnNJzhEo7/bQCZoVJR81itDSJS8kuoRbYuiExOcJjLu2IMKY+gpErentSiEJ Q++WBBMUPt1wGK48S8NhaIm70Wj03s0pfDdak4xSpa3vWCI7xrej0jCgPdHHeahC6tg5oSOf5I4q om93FYJbHwZoYssqq5heE3A+WGjNEnCkENzuDrlsYOOiu2PRvRSCwPOpA65GsaJWpEAQ3N+mceRT KwkRK48UQzVPpZGkYNx0fDNJUw5L6PZnIU20MO9AA2ekW8IPKdYOocjUbVpF5zP1IcJ6u6bWaFtJ DyWzAA1GbcWL6J1yU13T7bYlXw4YaDo/8CiFABCxExLfVHQtC1YOVYSVYez65LyVlQdHGsrxQxP1 5BKSCPT0OZQJbzQX4ZHEj2mh3wvfW5wLJJ4TUZuJFFaxrWJ/tSKzeigkcRgTn9Sec5D79Nt4LVvB cfEWuwFJ4IcRIb0PabbG3FpEvYjySLvxQPFYQpfIsu2pWlAn2J67xAoHMMVbAPZ/UQ0BIr0t/gk3 HFNzrHI38qN5q3mVuiv17KwgPNeCCE+eQ2qxmHhjFVULve2J1remUxJt/DXRZ5bug/B8Rs/ASvWu 1PCeraBPHHwY54zkdVZVYUhyOmjqrhdnsSWSdCKDg6Ml46xCE8XeQj0w6vGCFlDUiedQ4cMqgWpF UuC+R59LeBrdkhJ8X6UBsVnxqoWTpAVOMJWAk5odYFbOLa0NCaj1dCySMA4TAsFdz6UK8NjzyUE4 xX4U+XRaCZUmdilvBpVi7RLHSYHwMlvL61uKmyAghIyEo4DSvUEUfAkynBObp0SFNXEMBBQsrP3W hslJlLx9U12pUVchX8s+JTzdZ41iZB4ghu/2CK6bU3JpDnoylwEpPeKvwtqd1xgySE3QSI6xz8Ih B+tziPpmjhTConN6evvw6ePXv+7a789vL5+fv/58u9t9/fv5+5evZp6Jvp62y/tmrrvmaK/QlnGA NVs+jdU44r0RwYIIiNFFROgTJeS96YxeA8v4xqIueJro2RZ7Q/9ASC6cPn7kJs1jUXR4TXSTSFCw /3L2bNtt6zr+ip/Oatecs6q75If9QEuyrR3dKsmK0hcv79TdzZok7krSM+18/RCkLryAbs88tEkA iFcQBEgQqFGikWR0PsEG4BbpfFP6XWBHCAZMOXcYkILojB5E8Nw8kmdFSPeA422C3SllgWtZabsB 9FIadwdgMDFvJ2VP4mglcQ+Plvzrr9Pr+fPCPZDjVMxcEQv9WcrMBrqP3uIvwLCK6jj7ZUWZUNey ZJNOfuRGO11XbZttpMdy7UYQIUASZyz/lkC6iMkFj8lIiuVPRhR3qk0MiR21qgEsHCoDEa8Zkkmh 1DNebNSCaNEohAw/tkvOLikgIEjXMS5KrWChQ8ayx2u65SnEl+/P9+BMOL1e1Q6fi22iJX8AGIm7 aO35hrfhQNC6oY2rJRPacLhUF1nMnY7QI1P2NemcKLTwlsEzmiMke4kN+cEXqn0eo+eqQMGe8VvD oJa/SdZ+aBe3+JMsVvZQO9ZgSJEMBKqL4AKTH7+wwQe3QdtHgMyXUKqYgQ0HITMevUJZsOLFNUwE u9sbEKB4xQ2fj3uM1oHxbFppKttfMD1/RkrHTiPUNhyosQGMbXe88TQUu88CqhCyHgi3MR24lLdZ 7MowWgz4XS0vrGsKY/mK5loBpLynEGpj/lxxUSWi+yAgVLd7gLGLaznM8wLG7LcZG1gah7JLRT/E Tz1HgjDELyQWtKi9L9AoUNmWX0Wqk8XgkYdpqCM6Wlsh8lW0dkz95TeaodYAuObUxqALXMO5L0On 5daxN2geRMDDpi3XM98yLythhIDFtwzVDJV3ltERbXo0IjUG8fcSsdrlJIPGfucbjusY/iaysLtf huNajFpkm8amxEsMnXlhMCivXhii8MXzrRmkjACD39xFlDUddbbAqEeqJZvBt3QpTzauPYJNbQXf xGmjo3883L9czo/n+7eXy/PD/euK+y5mU0gxRI8Ggvml5PRG+PcLkhqj+O8CrMuo4e66/nDs2pjI 0W8Bn9fu2jPPLvgvoB65Y9l5cZAnRPfhhMty2/INCSLYZbuNCQiOCgelP5NnJwIV7/lnqHRNP7Wa +bRqAzU5s2KFaOuewaPAtJgEn1L9s7XtXNk9KAmV0K4tDeJt7lmukRVHr1TFQoXCbnPbCV0EkReu L7qysJpVZ1oGVNxgAdYPkb7T5lW8L8nO4C/P9JUm+1SVxByjBxpcRJ4pGilHu/a1vXf2tNVg6nvk EbM2xP5lAqzaF1QPC+3IENtAJKJKCX6CxgUFaAPYKdIoRrbCsE/25CzDxRexJk16MQO18/gZNCvm i+k6o7bZAOE1qrwjhgfICy08sz/wmAftoTA4KS3kEFanrSF8y29+QBWOnbK2cKoiMvCKQhVY2KXc QgRWRiReBQuoxHflbV/AlUTJdKqTcAtC3AMF5Lgg8qTCLRidlHIR+Dv+gnqyKa42bda4kQKM7woU Eh/vGFesf/W5I/rcKxgbm4stKX3X933sK1kJWOBcGcebyXG97/6KibI2X7sWbvBIVIET2ti7h4WI Ct7AHbDewV4cGlrKcLgZKxJFIfqqRSYRtz4Z46MrQNsXBRTfMkyoIAywAsFu8CMTSjEJJFwUeGhl DBUYv+IWAI6SlUQFifpMqDSRuSOioqLi1q7xu0h09BNwcW3TsXFwFgFLxMZ2mIVEfWIoYBbfVqTo env4pGYNwsj6KLJQx2aFJkLXPUOtDaKyvkVjssz4xdbQUZphs+AmQ+Fq2W2+823lAlfA0hKs4Pqi h7thO3ANrAZKoeP+YuC4juu45iJAW/6NIvCFN6vQJpztOkacpGRrOMPmOanIv2CqSR2+2rNevmNa EKo6GI+2pwwpqy7bZiy7xtICs5EK4cvZqwMeGnA55Xw6f344re4vL0hIbP5VTAo4fVs+lrBUn8gr qs73JgKILdVRxctMAWmyKxOyTRoBJZzqs6ZBnlCONHaa/tE1EAe5Qb6fccekx0IQ9FmSsnQCS7M4 qPdyh1a9gRBXpM4wtAojSa8+BuEIrsYWWckiyZc7McEwp+gOpRjCiVVepIUD71J44+aOMdw2J+0e gpcfY/ob5rXDyW5L6aELq2xz2MILYASaFHQ6xGugfqMwJkCKgtQyREo/28F9xhK9QfyQDGPy16b9 wxZCNAIyuSsJnK6yUcJ9ZhkZC9nTpuz1PTXvIAUwerkFxIc8VY792VrQz/kZr0Cz1QXE187pG0u9 qy0fPndtlVeB5Mo9zukt1SekB44TPMBtsgUtmxl6Uz6cnk+Pl79XXW9q1D4dIIMlz6aoctuIrFiK rie1AcWAe0yPS6VzbflRgLF5H77+/Ovl4bPcSqW4eHD8CPU/HQeXkNB2PXVsR/CR5C0x4SgH6J1j SNnFS+SMh78f3k6P0GJ4azpm7pBuq4GvSB/a6PkQIDeHZMriLrM/R2AwWqDYUoZwYme8x6mNecWA sM4PXYWpCgzZ2fJKrTtpr2aLF6IBGL5Pkk2T0RaqrZvgx6LNuAcBzjFePscYGK/oDKJqEXacSuXY RRayQH05BOrT53Z/7FMsARBUwB7RGUrvsyLWYdK7FQEImxJKzQQci7oXeFoFTqFLgj6LqXhGQwCy mZVHTrripZvmtZHlZ7980Z0/r4oi/tBCpsfTwtGTSsH25lks/5ThXUr80BctQ76VZ15oSb6qPCAS QDGdaP7IFq8QpvaPiLmOqSyReCki0FpDhz1jv6kI1vrAQzsVeMeBai1aDVQ+hFaw17/ZUrEsWzkM wQ8ztbHvzj9Or6vs+fXt5fsTi9UDhNGP1bYY95/Vu7ZbMZeB92IMm//sQ5HDeXuyluhsPqNUELiA dCqwYRHt1cHkUGQEyCc1ur2EpluQlB1HhB7ZZut69ziyqTap+mGRNVUdF46l8eTWDrZyHksR0RgO KsbZbRrSoStxJGgObaex1129r8TLDQk89s0OcGxxoCzVpB//iELfsmSaT1UOiTb+eFLX8fbh5XwL 78DfZWmarmx37b037lLbrEmTrjdurV2vKmmTIugoWt8CR9ReBqeyuapVucowoFOCFp6pWjEvryB5 XqnidP6w3WGN4xu7vq17gSqWR/Cxx9X7rlY0w9Pz/cPj4+nl5xI57+37M/35Tzp8z68X+OXBuad/ fXv45+rLy+X5jS7b1/eqKgl2Q9Oz2I9tmlNlVTOquo6wWDVzHJr0+f7ymdX0+Tz9NtbJomNdWOi2 r+fHb/QHhOx7nSJpke+fHy7CV99eLvfn1/nDp4cfksCfJp8cEjn5+IhISOi5+GKZKdYR6sw+4+31 Ohz0DZoK3sCzfWyZCQSOpbeqaGvXdAUzKpKt61rX9Oq49V30tdaCzl2HICOS965jkSx2XLMFeaCd dj3NJKSmfhj6GFR8UTWyZO2EbVEPGm9X5d1x022PgBs5pknaecY1e4SQwGdPCRhp//D5fDESU5sV HkCqdXKwi4G9aFD7A+DAQkydEQEak3HkgCaSn5FJiKsfb7rIXuufUjAaOXTGBpqouGktW34VP3Je HgW0EwF26CoIGRthWo7AFKKRseCcmi42ZKGMmKt97/ratz2NXRjY163Rvg6lt9qTtelElmZedbdr HjpAs00p3DywgJafqkycPbiO7HEjsCYIqZMkwxCODu1QYztmO7K31UJp5+crZYjPHwRw5KP8H+LL IkSpXWweGQL1VJ/wazdaI2YquYkiQxrXcaj3baS80eH7/+np/HIadw498cZYet1lJYQ1zdWeZMXg sGf2SnUA969JVyBA30TMaNfWJB5A5Tt7Dq96J/CuCXsg8LE3HQtal2kMqs1d1fuBh9BSqCa3GVRj oaoPAn29AW1oYSWs0R6HDho0Y0aHjsb/FBp4SBUhWnEYYrRR5Af6dFf9OriywwPaR9Z51dtudJVN +jYIHDObFN26sER/KgHsIlsEIGz0fmnG15b8emVGdBb6gGbB27aDNKS3bKx9veWi1LZO3TaWa9Wx q7FMSe0Cy+YofR/yiypHT08YuvnT90pb03/9m4AQvfsMjntYzQReGu/Mexcl8Ddkq3Yh7aL0ZlY9 ciqF9NPWSfT5kaMxJLkJXV2+Jrfr0NY2KQqNrPDYx3N2nO3j6fWrIPQ0aQxXlWZpDO5HAcLWcDvu BYbd6+GJ6tv/PoOpPqvlsmZYJ3QtuTZR+8oRTMla9PgPvNT7Cy2WKvHgU4OWCkpe6Dv7djYSk2bF bBWVHo6K4Nkq37e4sfPwen+mds7z+QIx3mWbQt1mQtdy1aYXvhOutcmTvJ/HZkIysTpLLEf0Jfx/ 2ju8n3WmtnjxUVRxstHFL1lGXom/v75dnh7+9wyHvdzIU604Rg9hvmv5fYWIBWOHpdMx3U7NZJEj +QKqSMmpUKsgtI3YdRSFBiQ75zJ9yZCGL4vOUZ3/FSx6MawRyZ67MtZBn3grRLYrOtcKOEjaahvG c4gdy4lMON+yjN95Rlwx5PRDv8Vbw7GhZuaP2Njz2khcRRIW1qb8mlaffxv1dxXItrElbUwazjFV wLCoq7reCgevIPW4IwJaOtUbTWMaRU0b0E87/NvuQNagDaAft5lj+6GpU1m3ttEIsSJRQzcg05QN uWvZzRbHfizsxKbDJtr7Gn5DO+aJUg+TOKIoej2v4I56O50qTec77Bb/9Y0KxdPL59W719Mbld0P b+f3ywHUIrng4K/tNla0FnySRuD4Zl8C9tba+qFSUqC4tkZgQI3cH9r3AWg48v0wXQzie2oGi6Kk dW22BrBO3bNg8P+1eju/0G3vDdJRGbuXNMONXPokI2MnSZQGZmxtye0ro8gLHaWBDDg3j4L+1f7O WFMb1FOM/xmMhjRllXWurdT/KaeTIz7CX4BrpUv+3vbk6EnTrDmoW/w0+xY2+47OJ2yiEZawFCBs W6C+qEDaZtHFbCKV4h0BsE9bexAdzhjluHwT1bdpQfIhN40tr2pQSyVqwIpl8rBtaMGGckl8YtXh oVymcnzX0k1IoaNLwFJHESKnE1sfL9pctunP7Nit3hlXh8wJNdUIcOt5RuNHC2MHnRAN/rFgHY35 gCcNh8bjksWemAMqpxZ1ZOvrmQrPQR6Ucuh0HqZLSXyLN60a11f4Msk2MPbFBgfHcqkUHAJYXdYj HPd0HgkgqoqZN6FfkVwZ2a4tW2luGqOy2hUVNj4fiUN3sUZlUgr17FQBN13uRK6FAR2doeWQYmxg E5tuiuCCUyWaNQQsGo+C3CgtYclHjoXNtoPygONiIiucTaaupXWWl5e3ryvydH55uD89f7i5vJxP z6tuWSwfYra9JF1vbBllLseSr7QBXDU+hMUwzCdgbVdbDZuYGpJG/5B8l3SuayniYoT6KFSM18HB dHpUGQRL0FKEOTlEvuNgsCMdDBTeezmy39izKMra5LosEj9dO7a23iJcBDrWbMqyKuTd9x//Ub1d DA8FHHX1sj3ec3XfqmR0+xHKXl2eH3+OWtqHOs/lCuo8VwQ225lo76jUVtl7QTEDkFuxaTylVZvO K1ZfLi9c79DUHXc93P2psEC52Tu+ynkMip2LjshaXWUMpjAIvBjwVE5kQPVrDlSWKBi6rsqvbbTL Nd6mQNnIZJ93G6osGh4/jIIhCPwfhk5mAzXGfc2dipkajlkygwx2FRm8r5pD6ypLj7Rx1TmaQ9Q+ zRUvKr4rX56eLs/CE8l3aelbjmO/v5pUb5Lhlqac1c7EQd3l8vgKqZEo+5wfL99Wz+f/MWrMh6K4 O26ld1smo4MVvns5ffsKTzwRvz2ywx4X9TsCOSOF8x8OYD5Ru/rAHD6nJomZ1Ogf7IiIKkeS7wbA k5pKpWHKa4lNHRCxWMJtmm/BxUsu+KZoxzyMOny7mVA/RdSWefymBfhqZ6Jzx4Ks+rThbgv24rmx oPOUsCRWLcu/oPYJ0n0fqa2YgH9GASnuTP2qZUczgHWdMnJ9Qwq0h7u0OLKIG0gXofcmHHzX7sHV DsP281ErHOGNV22ri+aXIPWYpyalehOqaI8EbZbbgXTxNGHKoWbHXOsIs+c1qvFeQjhpNDWTaxBN IR0Yj9+JYLGqhiSpGFxtgbEHhXXXqPNNioSyvyYZSFyv3nHPjfhSTx4b7+kfz18e/v7+coLnlFKL fusDue6yOvQpwTwi2WTSuVYHvKe8YSCnywEcUXdKBgdAHZIcF9fwGRqEhq36Hdk5kpZLgXHWUKl7 /JgWB7VtTUwaiEy0Twosgd5MkvdJq377ccDiagFmU8V7jXzMLa1MnEBQkzLNZ+vs4fXb4+nnqj49 nx819mekVBTSUtOmpaOYm1Y8p8SazzH8JPrqx9s0uyPl7ri9o3qI4yWZExDXSuQx5qQZpHW/gR/r KLJjvMqsLKsccuRa4fpTjL0nWmj/TLJj3tF6i9TyLXViOc1NVu6SrK1zcne8Sax1mIjOBwtdlWdF OhzzOIFfy8OQlRVK12QtpBPYH6sO3t2uCUrVJvDPtuzO8aPw6LtihLeFjv5P2qrM4mPfD7a1tVyv xPvRkLbepE1zRzeurjpQFoqbNC1x0rsEvO2bIog0dh9JqviGdeLPveWHpcXOWlC6clMdmw0d48S1 DExCivZAOaANEjtIUH0HoU3dPXF+VWAauH9ag4XfG6IfRIT8ogVpdlMdPfe239o7rMst3fvrY/6R zl1jt4N4N6wRtZbndnaeylE4xfXT0RHMBmpFhiF6+bvQds0hvzuWnev76/B4+3HYSXlPlSUvCRTu Mf9TL3PGSFJjUQ43Lw+f/xa9NZj8ZM+vaKNJOYRSli0mLpOyZZqT0mGq8W2YCpYQPKwBU0WopDmm JfigY1lymYxOdwTSNEAw0KQeIMTQLj1uIt/q3eP2Vm4M7MF1V7peoHEv7JHHuo0CR+MyuvPTf1mE h+ThFNnacgb9w2ytxJmW8N0+KyFNVhy4tKe2hfodMMKq3WcbMnpd6VqIgscD6zBCKgy2tWd4PjhS tGXg0xmLrmlD4Dfk2wqvC4jj5LyJoSU7RvmOa5QaG+s8KDc77UrSZyYNnDRxvdO2633WZvQ/JcyQ MhrlXYKmn2TsCbx3p+oaXbI16YGN7URqK6iSYVJ/MmWvaElPdqlhl0nLjtkDx4+HrLlRdg9IQtqQ MqkWT4SX09N59df3L1+oupmoXljU9IiLBHIdLDNFYezF550IWqqZjAVmOkhfJWIAJih5C67fed6A 27GKiKv6jpZCNERW0L5vqEogYVpqxKBlAQItCxBiWfNkQKuqJs12JRU5SYaGiJ5qrOpWKjRJt3Sv TZOjyPNATCUcJJEVaSEtHcuOLUEhqddo0bRSEaCOQVMpK+7Qyfs6ZbfWrHQYOaatSjXVhaP+TYdw Wx0h43JVlpIzOBRxR/UIR1KXRCibXqnBO6IMK8RnZYnLDSNqJyw2nFQ+T16vFDRmtDdFwlkotMTU CM08D3irmqxXqweQIYjOhNVCxUyIX9SWhZ48vnN6R7EkDjwWlOHTkqpseFkT1V3bZR8P8goecTsM yJORYfWRPjWshtnclDrM7c0r0zRS/GoKOBU2pqS7sx3sLpHjlAZRyDHGs9GPWNSRbMQtC1Za2q4s VlxtIajiegapMZUWBInjFLMDgSKTlzH9++iKB9UTTIxGCdyeVlTaZbIIvrlrKgngJluV2QB0rUEM r/ekr6qkMgTmAXRH9SjsahQkB1U/6TamTl5zg5PXhTwF1LQuYMdCYHQTJFRJ6IkU7lhCxoe2M0Qk hZGFkHmGpbspKPt0nq9IyDHck7yqU1Dwq0JuJFwvOIr8G2HszfdOYawJJ7mzQSNbuP8KZTYpwtGz ZtSo0I2f7Sqb0/1/Pz78/fVt9Y8VtWunUFnICStYvexZPzwmzdDs4POikQiX5i74JZH5XP6C5AHX rpZfyyltFwSP1HT12zlSKvJ5XURrzz7e4sHHFzqS1FEke2UqyBCzGxaaOVDoE9I5La6lULYeJEsa uMC1MNVSoVlj1eZ15Ptog+YYkQgOy/A3z7KUp12oqfcdK8xrDLdJAtsK8dmhKv0Ql9iu9H+MXVtz 2ziyft9f4dqXM/MwZ0xK1OVU7QNEUhJi3kyQEuUXVjbxZFwbx6nYUzXZX3/QDV5waSh5stVf40qg 0QAa3TPP4BFOH/0/GONjHlJtExAaba4VWovSShoc9+mVlLthOpSyc2kx5iDKttB0ZvzZg+cI27em iYA/ejm7OBl4zciwSNA/fm2SKjRMNgl9miUukafxNtqY9CRnaXEA+Qn5POvQ8Zyklckt0ntHBgC9 ZudcqmMm8Z0RuXmk9Lyo2sZ0hSJUd8BtiNFPBXgz6dIaQFKmjy37EY7d5uX4CZ8g2HjltKMvswRc tdCfC14Tx/1e2O04pfWuFCnCezL8kcHEi+bOzsJRh/WUKgC487Va8Lxfm98VPyJc1TlkxQ296aaA 7yvXXrWyE5gvBXxTB5Krqpsmr9rlbdC3THfeg0Ojyhaw+XWoy97Ylum8UIyDLGmExdt1jy4SrLlh v29HIvacQWJZWVZmlnQDm4pZoz5vhHkQpHqo5izr22AV+YLbTd3lH/ZyqOasCDsygszY6iGKtBSx VpNMELbGrM0gLofGdAavOPZnEbsxNJBF3vSJsMXJLli5VMN/AFYmcT4zS4JNsGJ2zwF5SW0o1GeC MLJW1g9NsLqNHGK4CFZWiUA03wwDOc75ZkHuYSbUiGlZoA/4ULc3n2hWiakIIFSXVSCYNnk8smKX xiva/ADAQytQj+Ox3XESSbumTnPaw8rAkjNKEcNvBu5SzjCMnkkyWIbaLXnHHh5Iq8hxHgsW2lO+ 4duwGz6zPb0VRvUuYrrjSbWy6LunYYy649OmsHNKkFyhgmM7dka8iFllZQD9s5cbCkvqmeE6hsG9 2VqjMgNbT4e2tEOuIZlHS/LxH6IN513lpEEqHmt51BOw59oE9qyStNCuVQvmNhbfOXQm2WIRWl9h 12z0VysTCQ0k4qyMnZUyZrcBaQYwzEmna8vuIjcwxBqDdJMGA2wTOLSVaWM0U+Xe/QxCzjux4qbb +7SJhNUZC61uO2CsMbPnMnbJHKJK7awvmN63LKiMltZcKQtLJuf6sTbKpfhYLg729E/4obSkO9I4 SU3eUel56fTsyO6Xg1LvCG7vfKN9QK1RlRYiWKytPlTEwBHN28XG7legenyuAbzPN3QsNdC11Sqo buxevvzPG5jpfXp8A8ur9x8/yp3+0+e3356+3Pzx9O0ZzomVHR8kG06MtZd4Q37WtkAq7QGcIrhE +2uD1M423a39iRQ1t5t9V9aHIAw8UYxhSJUZHcMGwW61XC3JU2UcZywVTV0u7BEw0tV2wpeYd6BM Go0r8jCyFtoq7o6W6lxzuWQk9i4nT003pgNxu/K2DtHI3zVoBnDiO1/4bskynKf5FH/ONmFnDeSB qOS2/bnwRKsUpbfAU+cNSS3RS763/MThoD0mv6HVkH7ApAYiUyOH3EtPqf5hJZF7YjR96wV/SDU/ ZziPeJ2eeW19nJHqCvGEm17clGDfn32qjDCvdabMS+NCDpehdFfu7KynioDD0lvSUZnB1jCpE+RE eQDmpR4jZYT2zN6AizK21A/Zd6jEQ4hem3U8rbN2/w5bU1ZlVh4uLsJy2CNURJkSiB/kyrMOg23e bTeLaC0nqxnUx2KuG/CCgFxe7QQiSalGOrnk/K4ucWfdlM64FC/x4LkI5OX+2+Pj64f3nx9v4qqd Xr4N5rMz68tXsHJ7JZL8nz2+Be72s56JmrpR0lkEszfJY9o2yXlHY0J4Eokq4XsaSr0l5Tzec3s/ LjGed1iLttOP2a72nbUghwI8yocBhJq4coSCZfkOMfBjNndSu4tPInFrKco9DMksPaWZOyQBBcWO TAY7gLIQ1PABuChx+0/5ACb55dLD46ZnO97HxzS+u95iSHHt8Gbg+df4xJ4MgbMIbyCinfJgo5/m Xw2cQ6ayyx6CQcoP53begKEhCNys56xpnAOlmc8zKrtmXx0YXQLajcD/FR97QLmrdG7CDbmmzmtc +ZOwtm8bnhElARasbwMf0nmR1RVkuHElUHSE5CJ3yyDYkPRlRNOjaEnSV7o7S52+JMuNFpsVKYbv oijyHWEgQxZHq5Aoa5eEGwU4me6aXsR+JQNYYrGIMs9zPpOHDMJrcBAdpICIqpyC/Gqb4lmG2fJH tZM8UeC9JDf5fiYv36514liTvQ3QioxBrjHYW5uJToxuRafHNmBdRwzVAbBtEDR4ESx8h1Mjx5Ku zWK5pfMEf3pX8+zC23VILK9KRyHoRuzCkQr3Q5PQcaqRCvAFfaUWkiGkWpaKjXPUONJDoosV3dfD hyZfefeYKGyLouzru8WtfdiIay+T+trthigVEanJOQeuExjd0haSBpPHptHg2YaUCzyzIvQcUEVc Gwq5yDfbYNWf42QMJ0BlJHXhYLW51o3AsbbP4jSAnjcIbomROAD+VJuVJ5UEvKkWtytiwg+AP5Vs OvMj3nRREP7tBehUchySY7zOVs4RLtLlPoGaK0Cn+MWhycwXAhNiOXie6YecJYLY14wI3ZIJrdMD hC0gGOBNhdzwVJmKtkFw1PtBzfKoNh7dSog8NF706sCK0kAGwNMUkS+j1ZqaF6Jhi/DK1cPAQnop mhm43AgRypncBodRRNRWAkPgFqc0gNak50uDwz4WHQCpJRFaAzqmDci1ptmz7WZNvXudOGYfrkTO M0h3/cSwMNw8uHBH1k4sWBiuKTOemUWt0ETegFBa5jnfRIFzlzAipA2YweDJcuPLck2+gtcZKImB nm4JCYD0NU2nVmOgR8RoQTrxSdHvLjk0AdlQ8RI0BsMjqkmnBwiEbLylq7H15LVd+Xp6S4aG1hnW 7s30iPhPuUeWzTVt9AF3lNtVFRITHtbxdUQsrhDlKyK+GtKd03hACvA2QHqY1Dk2AfHJETCfkZjQ NW2vqZjcm90yw2bP3NUaSdTqELM6IfeuM2wCark41Kw6Eqi4FM0Rrjq0+a4dCapjW564oV2OaPo/ NVv+7He47b/AwUdaHJoj+fklY83OJNRCQW5/Qdaz5aA6/fj6+AEcI0CC+QTAqAxb2pEATDiuW3qV QrSqPGFEEBUtfZaDYAun0l54l2Z3vPDC8REe8l2Bufx1BS9bX3zZI8YEiVmW+ZNXdZnwu/Tib12M rsX88KWqU4+ZFeDy0x/KAt5JellSeA6/98NZGntsdxF+kNX3ooc03/E68eP72p+1zBhfV/oZLv5W nVlmBUI14BNPz3jL46/apcY3P14GDuEz/Gjjx96xXe3/pM2ZF0fmL/cuLQSXs/1K1bIYjYT8eOr/ JFlalCf6hAjhUm7Qrs1zNIjPy/bKiMvlt6mvVD9nFwxx5mWoUzWu/TnwuC5FuafPjJGjBCOYK0M3 b7OGXx9/RUNHZgKsrJv0zj/vmVwE0jorr8yNKpUb4Uvhl5mVFE1gZ+vFM1bgm9fYLx+qmlvmQwYs GL/WjOGxrx+v0hReul3JoUmZXwJINM3A7s5zEYs8bVFlV5aHOvd/pAM822biinwVOaubd+XlahEN vzJhpBQS6ZX5Bg9VD/4uaI4QfEbZkXqZWljh+0rQj7NRHHKel1dEUseL3N+Gh7Qur/bAwyWR6/uV CSmk0ILwxi0dXQ7X8ayyChjvUAjdY3JDYqpKU4ZwfWEpN4ZbECPZdO+tEUddqBW7vjzGvIdnglLd U88X53suwJ3YlkBkdXzsj0z0x9jQ2yRGqFyQQtk/YSuACaqh6VoTvfrz++vTB9kf2fvvhv+gqYii rDDDLk7NZ7t6JfDVQH/aeb5qw46n0q7s1FNX6mEVwiDEHV3CpUrp5RcS1qXsbHHmjUf+Ag9EwGxq TssfYGizive+FrZneizmOXVlnEs1qeGmUdtIc68Rh6hCzy/fvou3pw//oaJODmnbQrB9Kpc0CEM/ D6FcSN2w3w12dBNxoDy7JRxfXt/AH8zoVyrxltjwfS6zIlvyDlfOol+Q/nYmtjraaiZLYEonv4Vm 0QC/1OOkeZMz01QAU30Ph9iuBhOPQqqz/fEMfp+KQ+q6GgTdxelNTO++9UEyY00QmkGcFb1Y3IbR lnrGo3CxWC0jZuW2i/PVwnxpPtPJ6zqE8a3VrZUXEkOKuHDyRzf09FXVhG/JUOsTfBt0TrZVzLbR gjpyQNh8WaRyqhbb5ZIgRk5LqijqutHu3MV0h3IzkWi6JJOnIgO6iUyfHyOZvnWYmx3ZI2WgqlZ/ d6DVwu0/Fc3Z/1ncd3IuTsb6VqWec6uKUxxpe1gm4cb0zKp6oVlEZAQaRJuYQYhuK6smi6OtcdSJ ZBUiPrLHsBY53iyaiFbvjNjI9ORn4ndNEsoh7WfgYhHss0Ww9Y76gUOdrVrSA61n/v356ct/fgl+ xQWtPuxuhp3RX1/AZxiheNz8Mutsv1ryZwearv3B8qyT38wigrcwu9elhpG3nskCc3tNigQr7M7U xubb06dProiE1fJgPJ7RycM7NrucES2laD6WlMmjwZZwcefJ/5hKbXqXMsOHmMFx7dW6wRhXracQ Fkt9nDcXu4MHmJjcU83Vc5oeX8lgVz59fQPnsa83b6o/57FRPL798fT5DfzJoQ+2m1+g29/eg3nw r8Z7XqODa1ZA0FxaIzIbiHHZf8wnt5KeUwyDrUgb2ouilRkcKBa+nm1VmNWpBHjBLgTfgTcxeidd N7E3SHmSM/Vq0VBFZqpHrZIMrlMViBepbCY19zeSNjwUR22iSPUjXEDLvV4yy2TbmdSMDlAEUd9z zzoOCU1fDmDbR6dAE9ueS3ClrZj3cpLD5kRWID/kxlyYIbp8KNsOyq6oDsG0upNEqKNDAK50FI5Q bPz5CeLOzj3LxKWI+6aDTK3vBC43qc+za/ejsaZmJgbZ7Hmmm8iekWrsjobk1KbDynmqYNsNTuWM 4/FkuVxv6JWZ59CsmPPee3zSBKs70r6pYjU+N63QB+DzTFYu5BCc3+MN5LrEhkdzAQpQOq5Uq4Vg B3pzDu5PwSXALpOjlT6l1VmoR9sarhTv70b15kYMjPrgbjl9KgDz6lpQb3ShqH+PwalinhauO0w0 kXx9+ePt5vj96+O33043n/56lLsZwp7yR6xzgaJhUhx4zqbOouIF7KScusSfX+RmSrz89e3Do7G3 Hq+LKHzaHzGe7UrN7H+Kcp0fDRdZo6iRzPQeVGXU2zNsHMBSS2i1YwfltvfxC/hAv0HwpnovFyJ0 fC7cXvwRqzZVsCQUxOb7aBWIVO4/3x4h5Cx1DFGncOQET6vJ6UwkVpl+fX795G7x6koKZn1EIQHH LL3yIIwC9QCKGRCIrlRs2ngda2fUYpJY4CMAXzmMVsEvUh3AoMzzkqQA2epfxPfXt8fnm/LLTfzn 09dfb15BofxDdnxiHuuw588vnyQZTLuJMUfBKp3M8PGjN5mLKl8k317ef/zw8uxLR+LIUHTV77PB +f3LN37vy+RHrEq9+t+882XgYOrIr6uWf//tpBlHq0TljvM+P9BjYsCLKiVHJJE55n7/1/vPsj+8 HUbi85CRq+d0sNc9yR2HXf+BczDWPsWtfj9NpZhORn9qkE3CCNxlnzDs+PimTf28ObxIxi8vhhdy BfWH8jTedJdFkuZM932hM1VpjYboRax70dMZ4ErKfNOuw7AnEpXxhMZIDQ+kT6ldc+eUa27k4BZh yi3tmnjW7NO/36TiPsxaLZtprCh2qd2x7XJDHSQMDOYRyUCUm9+FFdx0RnC/7M9w2DjbFZc9kOVM uOSmwIi/Nr1uNtv1gjl0kUeRHgl4II8nwtphoxTftaFTcY8yUDRkaOw81W0a5M/Bv6T70YA1Ztsg 7owg2pLaCB4sjdf2QN2zO9fdPhbwAgGliPw5JJP64BQFEbidjz+OobP26kr+AL+Epu8QIILev2/o mxvA8cjItLcxcNHkldsKXt+jh3LX/kMi4Ix1rpnc1uy5pvjDxkkqFZJPX8icDKf8KvD7stM9GO5K sHVp5J4gtF6qK98XvCrjhlE+y+pUpI3cmcCFY5bpLk8UAvaFF6HNv+p4kerGv19ReM2NHJ/ASXjO QiMO0QIUPFVvF+f9XVkwGMUhsNGdLpPDnb2UUDIHSrc3GI7aCYKOyP17XRsm14DCaOB5t8nv3UsT jQ0c52RzIzyVqDrWh5tCbgWF6bzLAKGx/oJYVR3LQm4ukny1In1PAFsZp1nZwPdNUqEvO+b30fIG KR4z2rIij+mW18zVHdmXj99enj4awSWKpC49l3Yj+3QwwXfFKeG5NlN3GdzEyKXCCrxQwNaHvoLe NZR6DU/W8lQPtsC6YbOjLU5M0/OLkypT/zlJjakT0GNWn4JKnI9y6Hi+efv2/sPTl0/UNabwyBd1 sGAbfI3XmG6WYx3gvRdx5FHVcmrjuQLRG/hGTGpUI3N80mQQgpNraztfuQynD+mAkw0ZdJ4KDt/i spVqBuWMGkup0wM33WHK76QhZP6IJ3vaPGwvKAcPaPghK9LhUeg/pniFXz8//k3Fa8lbcH1yWG9D QygAGRZUsoSuz/PhKG3c2BJFaDpNWekuS2zfC/I3CHKnvJkj47l1D6qNpDqeXNPOhwpyp+OYHIwH Mea6qdzmPkk1X0kLfeFlGU9YI1dsAYcjQp9AkiR3l6yylKSwJx1xSWQBDryeDeYFZlwK8JAeU+vS yCPSuK3hUFjXe5ZuhkvQQ+FFJVaF7Msh4Y+KXVrFmul9D0/f7RLtGg1+TS5a527LdzGLj5qaXadc dq1EDHkzEvEtrLFzHhH0isaLPTVItTz7jjVNTeSs9wINUx3wDiFaHPihw17YQ0MT47U/YcEzN+nY maHqNP04F0jgoPBqCrtLRjLRHSPkDkFE8OtYrulUEryL4MU7OTO94g1uEEn3umRV0g4OjPbCpSi7 gh58b8/V43LTB2TlHXvSMosELiAvHnyPUQXqS2UGUNoL28F5YhO4IqjbMb03mAKIZt63ZWMsaEiA yw488kHhBm4ZKO0HvPkN/GdWF0YjFNmaeYrYyDVNo+3zpj8FNiG0UsWN9hVY25R7sTQmq6IZpD1K ImNcxJZV5bgOSsUEYqroqWcaWEty8OHeyz/XGVh2ZuiCPcvKM8nKiyTtSASCtGAzSDRPZSeU1WVU /+P3H/40nOILJdK+WwSciebcGIAjF015qBnpqHvgcUSnIpc7mFNShRTa8QBCMKS1/dBMs7PSkKki +q5raJ9qa/KbVPh+T04JrpLOIslFuZUqupJDo4wsM54aC/KDZPNIuDbZO8JvrAddtjpDKcXve9b8 XjRWvWYdRkgen1w97X0ysmgcqYokv+d4hOszrW3Q1VS7yNfHvz6+3PxBdSvh8hNJdx49F0HYpOpz FYkVuA/Py4KD3YUJyR15ltS6M7K7tC70iWjtAuSm36wTEmhlwuLBJYe2ytonfVyn4FTXUOHgD7Ew jls8t/OmLLlQl3Wy9k2a63Klhisr5/uyxClnRPYj87jk4OJgfZmJOFyGeW9u/Ou8hMBGla7Fzq0y kvxDcucvKfW1NZZSQG+q+q3WVuVad9bI71smjmQup85aCXIOcYsM6Z5bnXqsLMJ90S1d0srKeSA5 UQDqoQBqmkhpZzpOVhSwnshA1Y/L3HmTYnJmD+XEpc2nEVzO4LNTioSPMVmGzblZhj/F9yCa5Ccq rVXYrdPcntGI5Frrlw630wsOwz8//3f5T6dk+UuUnodTAwvcb/krUzPTE9lFnHyjvvWNiLSeVJd5 igy0KxNsYPkJLXfKzCcBJ4YH/Xx0osZSLDRo3XIAR2Q5b/4VTGtV2oALMVrYFdZ0gd+6boe/DSd4 iuLZFSJovN4Eijh7TtMUe087E67LsgEOb8pB2fHioF2qIEtSEydX8YEJFrQ0AyarodTTQakHxSnc BfFSuydC+Wf9hJ4wOtLxT9wWdRXbv/uDKRYGqn+YxWl19Ehrbi4I8Fvpm5RBJqLg/e4sRyvu5cb+ M9Zc4DpjDNgzWP/TxuvI1VbwNtCP+wY7go7Enqn0qcWMg6/sqvc+OlSMP1G/awMsLhPmkyPMv7Bu K49CqRtuyR+zVHx6fdlsou1vwT91GN704mRf6s/MDWTtR9aGcyID25BeFCyW0JPxJoq8yNpf5Io2 YrKYqPf5Fou3XqvFldKpB9UWi7dZq5UX2XqQ7cKXZgzuS6eipqzJYnoqMquzpt3kAJPcdsEI6ynT fiOTINSNo20oMCE0PzNJY0GBXc0R8DVxxJ2vOAI/bhx9S6lzUB6wdNwZwCNAOeYwmrvwdMPSQ7dG 213JN31tl45UKn4vgGAdKTVcVpg5oW1lmjW6n6mZXjRpq7smn5C6ZA0n87rUPMtMr+4jdvj/yo6l qXGc+VdSe9oDOzVhMrPMYQ6y7MTe+IUfELi4QvBCCghUEmqH79d/3ZJsS1YrO3uCdLf1bEnd6odY AJgT7cPQxCX1ZQRNZCl19vYUaa2/5Gf0mGxoVRfLSATkaIi6mhtRLnUaIT+TmqRx+S/dn9rN+357 /LD9QPHg0Q8u/N0U+MpFWTXWidJJq0FRRiCcpRXSF6AdGmV4qhziywrDJwPfqlbdUSoM8SGAGz/E 9/VkHLiu0qub3MYHZVVYuEXiSUO9UyS0NUYhHacgiiARF9egmCpYvolDtLBzVx+ao7sBx2UCSsPr 5un+9Z/d2cf6ZX32/Lq+f9vuzg7rv1soZ3t/tt0d2wecp7O7t79/k1O3bPe79lk8fdju0Ig4TKEW dDbZ7rbH7fp5+7/usXJVL+iqFXaBL5s0Sw1FUaCytJE5hAdve4eJUxKjDdFJ2xnP6CZ1aHePekeq MbsOGjwwSdbfWu4/3o6vk83rvh0elB+6LomhewuWa6nsDfC5DQ+YTwJtUi9e8igPdSvaGGN/FBou vxrQJi30O/ABRhLaqmvXdGdLmKv1yzy3qZe6ybMrAfVimxQ2Njhm7XIV3MgOrlC4usgbHP1DjGVh XhwIP9zSKn4xn55fGC/pKERax7FFjUC76eIPMf91FcIWZagnEkM63efvd8/bzR9P7cdkI3j0AZ/D +rBYs9AfcVEw3+aOgFM1B9ynMkH32MIvWWcxZ+/Hx3Z33G7Wx/Z+EuxEq2BlTf7ZHh8n7HB43WwF yl8f11YzuZ72uhts/SGsji6E84Kdf86z+Gb6RX8wpl9Gi6icnl8QDNChHBqORnT+lU5J2vFKBkfM txktpes0UBmlPSiSMriMroiZCBnshFfdDuQJ9/OX13vdeNKNhsdt9pp7NqyyVwon2DvgHjFu8fia 3kRnc8oXUCFzqokromo4fK8LZq//NOyneswLDOPyq3pwrFkfHl0DJSN4RjuiEUTTtY1q8JWkVO+4 P7SHo11Dwb+cE7OBYKvm1YrcooG4mn7G5ILWUgiZLq11g+taBIk/I2AEXQTMJrzT7NEpEp9eRogg 42wHvPGywwD+oicA7BZByKZWuwCIRRDgr1NqawcEnQijwyeU922HRPuuly2splWLYvrd3r+vc9kI KR9s3x4N36B+G7FZHGDoF25vsyytvYi2LsgFGInkEjPqUwCf6rkXZ9fzqDyxi2PUIegsjCics7Ki 9USNgFITu3PGsKxK2Fz8tcDLkN0yn2hDyeIS9vsT7VcnAsUWriwsPb7IXZGZPeecHN4qoML2OuR1 No+IZavgQ+Rv9/jB2749HKRoPa5ImVpO8MhtRozAxYy82Ow+mVltE8YWYhrQZGLJIMV6d//6Mknf X+7avQwxGqkGPYOXUcNzStj0C28hYsRoDLlHS4zcQa2BQhynr1EHCqvIvyIMgw3QmTm/IYpF4REf mzxxwzsiLJXo+0vEhcP4OaZDJcHdM2ybcO4iOhBSz6yw8ibBR5RB90TlF/OzaA4qAzKvvVjRlLXn JKvyhKZZff38veFBUUXziKPFsPcMHGxXS15eoIvOFeKxFElDKfiqGlXI4LINRfzZhVYOVcjV1O6P GCIDEqh8TuSwfditj++g1m0e280T6Ih64CpahfSLhMLwFbLx5Y/fNFOdwuNDfkzvtutqIEt9VtyM 66OpZdFeLKLmy4om7lxBfqHTMn/A9m6/BnV6//p+3O5awyMEYwZGFSiMF8HJieGg2kx3jvtwqKY8 vwFdPks69y6CJA5SBzYNKpWC0/BvKHzyDg2TmgWgbyUepjoYvCTFPQ6L7eLxIfDOF7VjZEzfhOYv nuQrHkqjVREYwhgHRQV2Cn3b5FND1oFVYIlwvImqujH0Zv7lfPQTGCGeo6pn7r4CA4sv8G6o+2iD YGaue4FhxbWL8yQFzCJd7jdDhhxLH5zKDg+Cii0Hcy1P8FjwLVjqZ4ne+R51i1IPbGax9HHpaiAd CRCK3uQ23PAsGKCaQ4EBJ0tZ3TbySdq++xLSrC4o4UchRdiEbs1U8Ih9mxFlMUdazAFdhcDe7vpK 2PDs2jz+lwVTTKaAQ4+bhWFM1xAeIM5JzOqWBEtphILP7LUoLgeZ4WkFEjkm8I0zIzWKDsXr3Av6 A6xQQwmX0CsWj/w4WVlmPIIN4iqA0S2Y5paKOdxgc9DjOyRI5AEwNg2EyzQJCpCKhshkE7FI0TvC iSQQLG/ki+jm7oM45vtFUzXfZrAwtTFM0DmVx0y4gIRCVNG5SHyJIUau540WsRxnrchLfV+MM8/8 RSzJNDZdoHl821RM+y4qLlEp1cpN8sh4B86PEuM3/Jj7WhWZyPW5gJOt0N2ms7Tqg99fDOjFT/1p WAFCl9QSk9jqD7liHFMWj8Y7zRoZUB7pXggw8MYc411/ujD3Z3XCWgeneZ/eyRUC+rbf7o5PE5CZ J/cv7eHBNpTI58ZFTh5DNJJgtM3TN5jSJQgTtYonufp72j+dFJc1+prO+llSMpNVwkyzuKD7iWqK H8SMNnR0T7gT3hlqyJzD0GtB2+f2j+P2RQkpB0G6kfC9PWjSw0FJvRYMPZ1rHhj5GDVsmccRrf9p RP41K+a0GqhReRWdq2Phw1Li+I6lw7UwFffNSY3GMIwMoLybC1DShc/6j4vp93PdcAQFw1aGoWcJ XX4BKoOoAaiIousURB7MUZ54WVyOh9B08QoDjDdFl3DYvByOIvjAWxLdBkAURyktOMqyS+n/hZ6n Cau4tk+OMaLnTZbGN/Y0zrOCB8r/RiaJokXhX+WrfklgUmMUt0VsrQ3sDVRy/n58/jmlqGQY7XhY pYOV3Rl0wrW0bGXq8tu794cHQ08RngagZWB6aN2PShaG2PGWbyI63rNdEoUClUWYL1tXfEy42D5Z Oor1GdFgIlknC0i3fIvrFJg4gUz8XB7oo0HssCK1Gb0mTEL0Bvy3JjYFrwX/u9oCzAe81wXRuahG Az4drQhhQ61xK7a7dUXLh4pxROS+sKBShm0G0yRLhyrHNtSBsfrjggu5Bj7i2RVmMEMHP4uNylDG nctbcSxkEr9unt7f5MoK17sHPRkdKFN1Dp9WMBC6qIc5u22kceyAZMsSnTAfZ0D7V2KMS6xhleoD h5U1YZ1i6tuSjha+voS9B3YgP6MPM1e3hwWDdcNWlhlxVgZYNW1qIpF7s7rSW1zC8eCf8HsUeOHN SAmA4mPJYUHq9yGCxpRipcsgyOWil1cDaH3qWWTy++Ftu0OL1OFs8vJ+bH+28E973Hz69MnIgSfL Q2m5roKVI5m34iMiMZPJ3LKIcWOL69Jw3ZVQFZ0mr+DU/qFrhBjzBixWoTPnWNu+vpZ19R+Sc/5f RkQrG48w2HUx+y+oATAXUvc9MTBLuWs4x8WMZlJ7OwUsF2OICK+LjLSQEsFBXgLVAs6sPo0H7HzU 4WMM4qCHwTaJeWE68CCGAEL/hOiVICmMfDAICi5159cuWZPRKLMPsGilVFB0SSNHAysjH+HgxOQB VEu64WmCosiKwVdd01PmIFidotZrlZkYaTpy/k+4yHejLzZlbiaLFmqKV8/nRjaOAaicmdH9XMPD gYWXZzgpSKru4vu2xEvfkZIAvxBMCLut461eQeLEYupP2RFccBZbDLzjoep+Aq8r/04q4x7ATaYO cgePsioD9ebbTJdNzN6GwQrdrU8Mh1QnpZMX6cCmqEqe3+jbk4AvAVFlVACwQAsFbW59JVVad5sA D5wZ09YyQVHX4zQdOnYlblDceIwLnQPvuSkKvBisUDpy0zhtLwIb+XTuVMmmyxM8fJUIcfhE59H+ gsGsJ0Ywp9U/icTr+jATkh+dnn8eYc6SCEiDlIcJIyVSUdY8KhI4TAJrjmUg44lOWFq7yW/CBVHY MiyeS7ITcw+yJ2fAeSdKxiM5spcKfOmQWAEzXlxCjE4bn1UM7QBFnTujh0p83jGgllbtleIph8HH FQGoyLA4WqTJyBpsEPUUVj8Entos4jxkXcgNDAOIQ3i7Z1wug4IbBkmtn22j66P/A4Xk9mnkowEA --===============8455986978273543757==--