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=-10.3 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,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 A9702C2BB48 for ; Sun, 13 Dec 2020 20:59:04 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 683BF23139 for ; Sun, 13 Dec 2020 20:59:04 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S2406118AbgLMU6u (ORCPT ); Sun, 13 Dec 2020 15:58:50 -0500 Received: from mga04.intel.com ([192.55.52.120]:14950 "EHLO mga04.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1727294AbgLMU6n (ORCPT ); Sun, 13 Dec 2020 15:58:43 -0500 IronPort-SDR: df/+U3w5d3bpSqdmnRyyMc6lqOD3zdJ2NUvHmc3BB7HjvXwRcKe42N53vXzyqNzGEzW6kDDjkk s/mv2HeleeJw== X-IronPort-AV: E=McAfee;i="6000,8403,9834"; a="172061833" X-IronPort-AV: E=Sophos;i="5.78,417,1599548400"; d="gz'50?scan'50,208,50";a="172061833" Received: from orsmga003.jf.intel.com ([10.7.209.27]) by fmsmga104.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 13 Dec 2020 12:58:00 -0800 IronPort-SDR: 4wlQmnkbI6qGCV4he8mztsXkRzjn6XJ6e0voZ+fz5DYYnDwwByBV/B81hjN1JgIqUrsYvtblVG x2ESM90Gt4Dg== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.78,417,1599548400"; d="gz'50?scan'50,208,50";a="335534620" Received: from lkp-server02.sh.intel.com (HELO a947d92d0467) ([10.239.97.151]) by orsmga003.jf.intel.com with ESMTP; 13 Dec 2020 12:57:57 -0800 Received: from kbuild by a947d92d0467 with local (Exim 4.92) (envelope-from ) id 1koYRJ-00002L-7f; Sun, 13 Dec 2020 20:57:57 +0000 Date: Mon, 14 Dec 2020 04:57:26 +0800 From: kernel test robot To: "Gustavo A. R. Silva" Cc: kbuild-all@lists.01.org, clang-built-linux@googlegroups.com, linux-cifs@vger.kernel.org, samba-technical@lists.samba.org, Steve French Subject: [cifs:for-next 1/31] /tmp/mixer_oss-346997.s:202: Error: unrecognized opcode `zext.b s7,a1' Message-ID: <202012140423.qZB2nYtw-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="tThc/1wpZn/ma/RB" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-cifs@vger.kernel.org --tThc/1wpZn/ma/RB Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: git://git.samba.org/sfrench/cifs-2.6.git for-next head: de1ecd1edc1c428e6b1b37a0557d13ba7473e4fb commit: 2494367d9d48498364276355dd85825c967d63c6 [1/31] cifs: Fix fall-through warnings for Clang config: riscv-randconfig-r012-20201213 (attached as .config) compiler: clang version 12.0.0 (https://github.com/llvm/llvm-project 84c09ab44599ece409e4e19761288ddf796fceec) 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 # install riscv cross compiling tool for clang build # apt-get install binutils-riscv64-linux-gnu git remote add cifs git://git.samba.org/sfrench/cifs-2.6.git git fetch --no-tags cifs for-next git checkout 2494367d9d48498364276355dd85825c967d63c6 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=riscv If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot Note: the cifs/for-next HEAD de1ecd1edc1c428e6b1b37a0557d13ba7473e4fb builds fine. It only hurts bisectibility. All errors (new ones prefixed by >>): /tmp/mixer_oss-346997.s: Assembler messages: >> /tmp/mixer_oss-346997.s:202: Error: unrecognized opcode `zext.b s7,a1' >> /tmp/mixer_oss-346997.s:225: Error: unrecognized opcode `zext.b s1,a0' >> /tmp/mixer_oss-346997.s:228: Error: unrecognized opcode `zext.b a0,a0' >> /tmp/mixer_oss-346997.s:278: Error: unrecognized opcode `zext.b a1,a1' >> /tmp/mixer_oss-346997.s:412: Error: unrecognized opcode `zext.b a3,a0' clang-12: error: assembler command failed with exit code 1 (use -v to see invocation) -- In file included from kernel/time/timekeeping.c:6: In file included from include/linux/timekeeper_internal.h:10: In file included from include/linux/clocksource.h:21: In file included from arch/riscv/include/asm/io.h:149: include/asm-generic/io.h:556:9: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] return inb(addr); ^~~~~~~~~ arch/riscv/include/asm/io.h:55:76: note: expanded from macro 'inb' #define inb(c) ({ u8 __v; __io_pbr(); __v = readb_cpu((void*)(PCI_IOBASE + (c))); __io_par(__v); __v; }) ~~~~~~~~~~ ^ arch/riscv/include/asm/mmio.h:87:48: note: expanded from macro 'readb_cpu' #define readb_cpu(c) ({ u8 __r = __raw_readb(c); __r; }) ^ In file included from kernel/time/timekeeping.c:6: In file included from include/linux/timekeeper_internal.h:10: In file included from include/linux/clocksource.h:21: In file included from arch/riscv/include/asm/io.h:149: include/asm-generic/io.h:564:9: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] return inw(addr); ^~~~~~~~~ arch/riscv/include/asm/io.h:56:76: note: expanded from macro 'inw' #define inw(c) ({ u16 __v; __io_pbr(); __v = readw_cpu((void*)(PCI_IOBASE + (c))); __io_par(__v); __v; }) ~~~~~~~~~~ ^ arch/riscv/include/asm/mmio.h:88:76: note: expanded from macro 'readw_cpu' #define readw_cpu(c) ({ u16 __r = le16_to_cpu((__force __le16)__raw_readw(c)); __r; }) ^ include/uapi/linux/byteorder/little_endian.h:36:51: note: expanded from macro '__le16_to_cpu' #define __le16_to_cpu(x) ((__force __u16)(__le16)(x)) ^ In file included from kernel/time/timekeeping.c:6: In file included from include/linux/timekeeper_internal.h:10: In file included from include/linux/clocksource.h:21: In file included from arch/riscv/include/asm/io.h:149: include/asm-generic/io.h:572:9: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] return inl(addr); ^~~~~~~~~ arch/riscv/include/asm/io.h:57:76: note: expanded from macro 'inl' #define inl(c) ({ u32 __v; __io_pbr(); __v = readl_cpu((void*)(PCI_IOBASE + (c))); __io_par(__v); __v; }) ~~~~~~~~~~ ^ arch/riscv/include/asm/mmio.h:89:76: note: expanded from macro 'readl_cpu' #define readl_cpu(c) ({ u32 __r = le32_to_cpu((__force __le32)__raw_readl(c)); __r; }) ^ include/uapi/linux/byteorder/little_endian.h:34:51: note: expanded from macro '__le32_to_cpu' #define __le32_to_cpu(x) ((__force __u32)(__le32)(x)) ^ In file included from kernel/time/timekeeping.c:6: In file included from include/linux/timekeeper_internal.h:10: In file included from include/linux/clocksource.h:21: In file included from arch/riscv/include/asm/io.h:149: include/asm-generic/io.h:580:2: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] outb(value, addr); ^~~~~~~~~~~~~~~~~ arch/riscv/include/asm/io.h:59:68: note: expanded from macro 'outb' #define outb(v,c) ({ __io_pbw(); writeb_cpu((v),(void*)(PCI_IOBASE + (c))); __io_paw(); }) ~~~~~~~~~~ ^ arch/riscv/include/asm/mmio.h:91:52: note: expanded from macro 'writeb_cpu' #define writeb_cpu(v, c) ((void)__raw_writeb((v), (c))) ^ In file included from kernel/time/timekeeping.c:6: In file included from include/linux/timekeeper_internal.h:10: In file included from include/linux/clocksource.h:21: In file included from arch/riscv/include/asm/io.h:149: include/asm-generic/io.h:588:2: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] outw(value, addr); ^~~~~~~~~~~~~~~~~ arch/riscv/include/asm/io.h:60:68: note: expanded from macro 'outw' #define outw(v,c) ({ __io_pbw(); writew_cpu((v),(void*)(PCI_IOBASE + (c))); __io_paw(); }) ~~~~~~~~~~ ^ arch/riscv/include/asm/mmio.h:92:76: note: expanded from macro 'writew_cpu' #define writew_cpu(v, c) ((void)__raw_writew((__force u16)cpu_to_le16(v), (c))) ^ In file included from kernel/time/timekeeping.c:6: In file included from include/linux/timekeeper_internal.h:10: In file included from include/linux/clocksource.h:21: In file included from arch/riscv/include/asm/io.h:149: include/asm-generic/io.h:596:2: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] outl(value, addr); ^~~~~~~~~~~~~~~~~ arch/riscv/include/asm/io.h:61:68: note: expanded from macro 'outl' #define outl(v,c) ({ __io_pbw(); writel_cpu((v),(void*)(PCI_IOBASE + (c))); __io_paw(); }) ~~~~~~~~~~ ^ arch/riscv/include/asm/mmio.h:93:76: note: expanded from macro 'writel_cpu' #define writel_cpu(v, c) ((void)__raw_writel((__force u32)cpu_to_le32(v), (c))) ^ In file included from kernel/time/timekeeping.c:6: In file included from include/linux/timekeeper_internal.h:10: In file included from include/linux/clocksource.h:21: In file included from arch/riscv/include/asm/io.h:149: include/asm-generic/io.h:1005:55: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] return (port > MMIO_UPPER_LIMIT) ? NULL : PCI_IOBASE + port; ~~~~~~~~~~ ^ 7 warnings generated. /tmp/timekeeping-638290.s: Assembler messages: >> /tmp/timekeeping-638290.s:1850: Error: unrecognized opcode `zext.b a4,a0' clang-12: error: assembler command failed with exit code 1 (use -v to see invocation) --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --tThc/1wpZn/ma/RB Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICJ9o1l8AAy5jb25maWcAlFxZc9u4k3//fwrWzMvMQya6fO2WH0ASkjAiCYQAJdkvLEVW Eu3YkleSM8m3327wAkjQM5uqxFY3jgbQx68bUH79z68eebscXzaX/Xbz/PzT+7o77E6by+7J +7J/3v23F3Iv4cqjIVN/QONof3j78fG0P2+/e1d/DAd/DD6ctjfeYnc67J694Hj4sv/6Bv33 x8N/fv1PwJMpm+VBkC9pKhlPckXX6v6X7fPm8NX7vjudoZ03HP0B43i/fd1f/uvjR/j3ZX86 HU8fn5+/v+Svp+P/7LYX72l8OxpcDSeTL7vPXyZP28loeze6GWyvN5vx093N7Zfh7sv11W74 +y/VrLNm2vtBRYzCLg3aMZkHEUlm9z+NhkCMorAh6RZ19+FoAH/q5sbANgdGnxOZExnnM664 MZzNyHmmRKacfJZELKENi6Wf8hVPFw1FzVNKQORkyuGfXBGJTDiCX72ZPtFn77y7vL02h8IS pnKaLHOSgvgsZup+PKrn5rFgEYXjkoZEEQ9IVK3yl3qj/YzB6iWJlEEM6ZRkkdLTOMhzLlVC Ynr/y2+H42EHp/arVzaRD3LJRODtz97heEGxG96KqGCef8poRk1+yc0kjZjfyDsnSwrLgx4k A/2FgUH+qNoX2ETv/Pb5/PN82b00+zKjCU1ZoPdYzvmqGc7kxGyWEoX74GQHcybs4wp5TFhi 0ySLXY3yOaMpiv1gc6dEKspZw4YFJmEE52EuGSnVQNCrYUlBUklLWr2jptQh9bPZVNo7vzs8 eccvrd1ybgmcK6tEaqbV+x+A6iwkz9KAFhrR2TXdgi5pomR1QGr/Ah7CdUaKBYucJxTOxxgq 4fn8EVU31sdSLxGIAubgIXMrVdGPgdgOnSqY00zrTW0dCfqxXKUkWDDTa7Q5+ZTDklsiWrKx 2TxPqYQlxXCQzq3v7EPTXaSUxkLBuIlL+Iq95FGWKJI+mFOXzHe6BRx6VacRiOyj2pz/8i4g jrcB0c6XzeXsbbbb49vhsj98bc5nyVLoLbKcBHoMa48cTNSCpoGQzPpQO42QSeJHNNSrKDfn X4hVHw7MySSPKrvVy0qDzJMODYMtyIFnbhh8zOkaVMm1Z7JobHZvkcAlSz1GqfIOVoeUhdRF R/VqMXBgqcC9NQZgcBJKwUPTWeBHzPTomscDH/fG3FV7V2ontCh+MdzSYg5hx/JAlUHLYA5z arOu9lpuv+2e3p53J+/LbnN5O+3OmlzO6eC2QiFL1HB0ax5JMEt5JqTjPGD2YCE4dEHzUjyl Zr9COJIprgdwneeDnErQPLCFgKhS53p4+XLkdCwpjciDY2w/WkDvpfaEqQEw9GcSw9iFq8S4 2QwW5rNHJtwThbkPvB4pwjx6jIlDDuCsLW+km/L+USZ9rEepQifP5xz9CP7u5MPJcgG+jz1S 9JXoqOFHTJLA5c/arSX8YgQ4iO8qAhMNqFAabKKZNPzCds316pAFqCF1yiZnVMVgb3kJHNyN tC6812JahEQnT3DJ1k7fX7ti0OCFe2sz95b6BKI8Biy3NBkEKMfWUsHNECfZLCHR1FJ7LeY0 dHXGuG03Jow7GjKeZ2kRDZqW4ZKBxOUWurchprFP0pTZJ1UyF9jtITZ8UEXJibmmmqp3CI1T saXlFnwxffcoQQoahtS1BRprovbmNYipjjAYDiaVCywTJbE7fTmeXjaH7c6j33cHCFgEvGCA IQtifROH7BFrQTRSK5igvvkyBol54EQP/3LGOjrHxXRF8Lc8u4wyv5jZBDyxICr3dS7SGEVE fJdPhQHsZtzdjPhw4umMVpHflAF4U4iuGMfyFCyLx33cOUlDCEa2655n0ykAZEFgdL1pBGKD 27JxuYgZADcrRiKHpHFMhB5llWcJem9oBi4ptHySonEeEkUwP2RTFlTww7BxPmWQ4M2c52en b9W41xPfRNEpk8Gyhbm1cGkCoQFSH0hYIDG9fa8BWd+PJtaAeZzHPLQsJI4zxz48AvzMw5iM RwbMI3rc+/Fdrcsl5eq6ocAp8OlUUnU/+HE7KP5YQk7BSsH6IVNF6Nda4oqAomrAQaJ8noG/ jvxWE5kJwVMlK5OBGfWxG0ekAKsXiKpsbOI4JEN2A2LMZJdfZy9w7j4khKixEPMdDWQWd6nz FQX8b4wnZgqXmUdggxHsnZF5LwBvGAIUgOoYwDE877ZlvaXRXQ4ADJRt6YqiyEQQbmwBUBY0 CdMHZcMkg54vRsNBHipf5/uA2p3aakukRRLPmwu6Hu/y83VnCqnPJ12OR8whZMm8nhi5QIDa GIFrCCOdlzcoomaQxAW4gJ3BrkoaoO0ZLg2UXswfJCrYaGaojoyN9D1J0Q3I+9p6IOsUUTYr QXOlKhnYQAfaF3YEeUseVId2fnt9PZ6wwibAmMpNsZrr+ARME5E7ehlBXWTO07C33gxAFgCv lvWYDwcDpy8E1uhq4Ap7j/l4MGhl2zCKu+09tO1Epgbtoyz+ETodX1F9jDAYxKGugGlAXHa3 WhaadvwbsgeIcZuvuxcIcd1xRGw53rjwCq4UOIbUxaivwefKaIvaihWOV58Aya1omtMpOHiG 4bOMXO6hW0OBCzSPuncZepHT/enl781p54Wn/XcLK5A0hsQmZhhQFA94ZLrCiqXFbBejCrbo 7yn6ek5ZGq9IShGhQTgxzQHgGkQVvs7TlbK23Q/iyc16nSdLSHYcG6Qgd/aTtcqnq/uX2mVy PgMTruYzfGnBCCDD08mGdqCdfiAeECD5f49VD9JpsxRhQ2PxOg+lsAnSTMZLQi7Cupa1+3ra eF+qs3vSZ2dmvz0NKnbn1K3S7ua0/ba/gNMFO/rwtHuFTk71/zOLRQ4YiUaWl1cASdDRP0CE o9EUi759CFe7ZR0V55wvuhENHKeupJUF6VYwxiQeYj1uOU8fepghg7Qa2pjaVMwtNR4pC9Cy xdVgOKUzJx1zvCLQ52EWdwbG6a29eYdrJg6dZhBhEBG/wwINjpRZH3V30bKiNcJWcLP1v6LD x5SbNTc9ZtBbttTsf6zLNZALoRb4sRDgtGWLehw4onLFggYIeI1wq+Ow1DkLKJreSiO8Rwgj fRAOLDw0zrFMMsYjgI86C23JxHW6DxBwQdMET2i1NjKHWs8RRJnJjZVqFvYU8OWHz5szRNm/ iuD0ejp+2T8Xxc2mZg7Nyrn6kAsqs25WgHtaZqINqn9nJms38RYLwUYVcVpZwT9Yfo0rwJ4w 8afGrmqUITFzvB+2gRLTleuYqM7ZWclA0VrXuGF3iSsvLttkCfJ7Oxdsd/euvfc6gkr8NKju G60CQLM6F62u1bdFRF6rIqC1ITzqzwCwvu4u3uXonfdfD95p979v+xOc68sRq5ln7+/95Zt3 3p72r5fzR2zyAW9WG6dszALmNOwRAFijkbv+1mp1df0vWo1v/81YV8PRO2haq6ic3/9y/rYZ /tLios2mVHYPp2LoaqZjsTV//dg/d5Fzx0xK9FJ4kSiFztRineyZw2YJeBvwVA+xzyNXpVil LK5aLew6kknNV3OmdGHBuM6sHJqu90cQETNrST66HBcEJFgQMBU6GZqzFve94EBZok0jWLQ8 Xp3VEsVjCLsAioyNRksvOoMF8FVihpt0JSHZ6WFqD9nDq91aHDO+MnKl+rM2Cvpjt327bD4/ 7/QDAk8XnS4GBvFZMo0VwKOUCQNo1cOXfMz7ra1syK6KesEFhQhgyCYvBDyH8d6ZHPVJqpcR 716Op59e/E4uUVYmDCwMhDyBTBTxjY1fpIggdAmlN1gnk3f6j5GLYCkkpXiqrUpQ1QDy1JyE YZqrdvUn4XGc5WX9qdBnLIKD8dWOPYgoSQISzI3Y+Sg4IP36BB79zAC5j+Mpj4zPFcCjJI0e cgYbWyywWQBNETwgmHTXcGeZyH2aBPOYpC6jqDVAKFpgB2KFzP4jMa5yqeq66d33/daRLhXo MGDWIgLmlF0EAUCSLl7AKLzflmN7vK0iWYE25jQSpilZZDh5NbduekK6VLFo38M3QC8JSdR7 36tHrrMy/TSjMs06h3g+bp509lEp7kpHb1PEmqQVM4SBpuZFCkDIJhVr3GHTSwPuet1NocLV IJ+CO0fY576wqLtUkcFpze3F1VqlIwXetlXOoFtHD1OA866bhZJNl6kJnAoqZkllT7DbmJsJ geYR+ZAEVQuAgb6RemJhzc+MMSFxsRxG8Tlno6DpVNJkxGLs26EL1ukvRdwlosPuzmQ+FWlG zMkyNlxcGJMC82uNmJoag6wpmDdtX7tVnqNIHbngEZ89dLBs14qKctDb2XvSBtwqdDDIZfAJ DiQ7kSGgr4Y5EX6LsLaMPOZrRZ0ZLpMsYvAhj4SRtXwCxcupz0ZW0gxQA+8RYjxHF1CZs7w4 pWbegtStOTUlLWO1huNM2jpfDahckDlUhuxlZan+hOBC9ST4wMX3A6HypTmAjmsIcCxiEQec rAX3/7QI4QMgNGZJpSOZBQ+BZukgx/QQnMQSdM0KswWDR0t7VjDAtCi9GzE1xXjacdvJMqae LAqqZg3GohcwYH/eOvQvvBpdQYopzNdHBrE0W+OGs2GBTbnOLIvjB71+oxsL5N14JCeDoSta AvaIcmnjHTC/iMssxVJ3umQAAZx6oxU64AyMteeiU7fA92ap/RCvmlyE8u52MCKR4YaYjEZ3 g8HYWoKmjVzVYEkTyVOAztDk6mpg9qpY/nx4c/NeXy3H3WDdCDGPg+vx1aghhHJ4fWt8RoWF jclpIMblwwQDpqXEULQ1XsoBkA6n1PDCYilIwgwCeg34Z0EfIKgZnicYmVc1lEIIiKsyfqNL BR2OczRphmyIV0bULYgRnZHgodM2Juvr25urDv1uHKyvO4PcjdfrybWlOgWDhSq/vZsLKp2P BIpGlA4Hg4nuXWFpe3VlyfPH5uyxw/lyenvRF86QJ2JifDltDmds5z3vDzvvCWxs/4q/2vXQ /3dv3Z08X3anjTcVM2JUU49/HxAXlDm591uZpMMEo+B3w7CxNEcQYwkDGNNgzi0gajqF4h4u kKykdE8YmZgomkO4OhSPUiml3nB8N/F+A0SzW8Hf37tDAvSiK1Y+aaoeaL7Xsxj78Pp26YrZ GGsisq6znG9OT3oT2UfuYRfDEUp8VmlFRSTkEfOFdD9GKhqkZOW0auSVZwADGHBJc4CED3Zs T6G7pEHemtDmC5THLLkilUOQB5YUbYbMkgkrBWjNNBOFHO7Hx6mJq2Ykpq3L4pKSJ/LqynrG VnOiiRMXuM6gPnfXqRbHCgaz2YI5GBGsecyjHnoPCJJIBMwtYNPoCYDK6p2v640PshcBuO/Y 8JIEMjospQBdNyiYTeImghjvhEy+K/AUo/iqGeSnMS8+T8Gwp9FhOkUY2rjpVfNcpLmsrIjF 4ybGAWm4gGHdzCeT8dAxqK6ew/E7OHgZlCazwD2vVPHYpU5NixjATuIaOFYLF5muHxIu3bPh NrsveOsmeA2kWumlo1kQqLT9YqXTaM3EHIzZ2QpOyr3ZwFgUgK9R1gD+CldjiNHRQwtnVzRA hU5r6tpF07fShjSDDA6vAovcs+MVIW503bKVrcEHGICkIX4nw1wMMoobDZfxIFM/XFraQ8UZ opwClL49XyDk7X7AClCO4Nv+1SkMOEa/cFkwZBTRZEY7g2q+i1pM2CJHKpiMB9ddhgjI3dVk 2Mf44WAA/FRpZKHFkgXpZ8/WhPQfusbROhBR6Dz3d/fNHqosTOAD4R5JZJmD19pAnr8eT/vL t5dz6wyiGcdqXUtYJItg6nawNZ84F9KarhahDhOYRzoVYs7WV/NwZMpdvPH2PmPqWZTIvN9e jufL809v9/J59/QEmOtj2erD8fBhC7v2e3uJGLLtIy48dWfV6m7Yv+T1mrl9hbalIB7djq/e 40MISLkrbFT8BU9IWyQ/DWKp/N5xA/QkaCR9KkmWoI6sPWxI8QmtLsIJyDnwNq1vADZjAY94 am8gnUJgaJFiumyTtLO/as/eltdWbjabR+Dnep49YxMW91kgRrNIdDwd4wJSirYYfz5Obm7d L4qQDQBs5KoEa2O2o54mqeurddspqZvr0bDjCZbXk/XalcFo7lq2O5Two6cDx9KhtCfmWK6z KauORwID/qfTFzGon+h0TNa9uybWrrf8yCnyeq2LBjVlrHVY6WLc2kY5DkaT4aBFnEPa4jP9 ZMaSQLJYUfd3qQp2Ou3zmqo1BaKf6cRFvOnMqrKx812ZZmbJNWD20apjiPIh+ZQBEnRCVeDr MqItgCblvohbJ5wlgGcYTd3UfNqeGi+hiWLO75UhfxV3wkJRc+jd2nXUt4x1JO66BpgGpItd 6A/APofNM7r/jxDHwPNvnjavGhDVlyS6Jb98K2Jl2cwIEnYEKMOuvTFTycwaQW+E6hyz61G4 ZkXELPrVpLIu0Tl5zcNiJxY9e/e0KOejif9DEwzJvbgEGxQVfWvB9RqrxmP7gjJMJNLyGL/b 6byCWBl8IyM2i/1Yp2+9y0dS2cemaWBdFC0E8+LNGY89OB4up+Mzfveqc02mLwGKAG8m+khN 78YTl8/UTDW/ubPkxbI9CUk+vrEfjBatY+dbmoJ3N4Tsmthf3al75WDdYauqardaM/0T4C/r SWuQ/R6+MPgk61sxNLjGGPiz0w/J+Vy+JySik0/u2rBmM+UT+2szSA4gN3F/U8rgVhtkK0IQ CXkzHHbEbXBLz6hU3LUiPVLB1nvXNpURhPr+xSG/ktFSGF1ZlVNwpMW+GqxkLfJpRNedPjqd sZoCloGfU9amdpb+Z68PQG4kbm8nwzxVLoBZL9P8+nlFLPa+syVtpbWsFMAP/hYE9upqxjRo D1mgo74BK5hk0RZ5wtP2OAiF8ilzfc2jZgvHkgBRKvYJbyR6t5BDaGXOB/qaC4hqNOkakGId y7BHxavK4WDgvj7WLVLGk55ZYY9NmF2TcvmppTGAu0Zd6SDhWOC3/XsnT0XAXHBI8zpm+SkT bdMCbIZotncCGQxvmbwe9BRcsQUAOcna1RCrQY+A0HPeMbHiiyUdMUXq/gpoxcxJ2KfvGvG1 JkGSPvj2jkuFSuZ+vqb5WL7tmwhhor3jNT5sWceatWxPo8LhcGJ319TRANxUhG/huj2QB5hu 0WKt13f2QDW4bC13jd/n7llOgRbtcQAI2lOtFU0kgR94J2K3fYS1V3vcIscin33qHD2Jw6p2 oOGDUVHp3nvgLjZVK2wvTsfLcXt8LnFHC2XAXyx7WaJEnAt8GlL8TyQtlVMRvR6t3fmlHhAB YM/Wde6k7acS+AmMBlxdrJ8u+Obc855gJ0T3SbFQwts+H7d/GRtUoPCDfnom5g8QNPR/XJBQ hf+pC7700uVoqUgs8DEYPi3d7TwA4wDUn/b4PALQux71/Id5adadrFpPVTLrvMooGXnxRfqG D3Q8PFd7rLNNs6T9XSocCX5zT1Ew/o+xK1tyG1eyv+IfmAjuBB/uA0VSErtIkUVQEqteFBV2 zW3HeAu3e+b23w8WksJyQPnBrqo8SSwJIJEAEgnD72bOG8tyLlc+9YGXIV+nhYGZh2zOj7SD /wVrsUpa8F3rE8f+xMJS5iT2bv25306p6ZkWhtPvwtEWfRBSj+i7xBaqDTkTtRHu/6pei1zp Y7vXjLQFYPzVqcZz9MLTFVXTwatLC8O1AVnGwq43qSmkZog67xmihpTnPodoqyPMPLEr4dsh sSFh1vuqeakhIUhN7DIahuaCFS+H05ne5NCxqnFyXPJf4d6103hnCdyJ9xza+HhXDU19wvIN oaOF/uVtd4iK0a70vHtmA8xkgsQgnuyuzOkpSIRpYdCi/TPxkshORQAEaoO6f448P9tsglqm uyEKwZGCnBmQeD5Bg45VgQQB9stXeZJkqxE4R5Z4QD2UbZb4oKfyL6Y0chUp85NH2aUJkqSA MmyC6TwPM8iAUnsuaOTBUosdTjE383l5I23JSHeSESVFi9QnW+KmZcvaA+iusiVRDFRxS/zY Q+Lira/fnpWhh96/vf/19teHH5+/ffz184uys2alMLCplObIz3DN43jr9wUoraA7tBUD+UTu QPl38sgBQgPJ0zTLYlTjO77dSZR0tqfhlTHdHr/3BH8zvSz+bUZ8cmWXkGw00z25cEuq/rZQ E7xNBRi3OrjC9iA/vLS0+TbH050tBaNqRaMNMMwjGxxec1h8RkeOFXaG28XZ7t/Rb4omCn+r KKB6d7CAyuWOV7/ZQaMcOZTabDuHWE+PPqfHNPAc/ZtjCZyeV/TxCGdsafB43Aq2xw3E2cKt KX9hilNnnVICpt8Vg5PojIb5b1bkUQ8STBuSnUI9nyXUm2MWsuaKvKVnfQt6geQh9NbkxI8X kYE4720BoB9KMMXybSRaZARZQXITCa2E+BFjkDmhxAmlEWy5GUy2lqWC58jGvSPttvdFd7IS H+tb3ZWOyHELE9osMrFbU25PvisjW8/8JidtSvLbaW5PUnfOyeErCiqUoKNBwOdD1aUwQJd0 VLRwOS5r3z99fhvf/weYa/PnFQ82yJ3ybDvcQbwh24rT264bwKqeQ30+1BRBQerBWou9/3BT woJlW+22I/H10zHAEMAezYsGLxLfGZI0gfMsR9KtYcYZMqCWRY0CnCTxk/RhXdMtdcsZCBjZ nJ65co23V1tjEmapenzs7HDmp5eaMspY2+UZ2/6Swg2Y6vlc85BV9blV7niyZYB2gjUTxE0Q fk1xjhMd+2ug6G5vLB6WT+rhWQ+CLLf8ZuZVPsI7UcRQhC0inRfL6gIkJzAr4JKgzrfpFn9J eXH069uPH++fPogNFmvsis9SNhUZt+ME3fRvk8Rls8om3qgtE/NAXJaT8e+qYXjh56pTb3yx eqzZ5OlA5TaUiUlnNiOb+SDYpC4nwDq5vPL7c1+NNqh4bBfXCY/kwI7FAtuP/IfnI6WrNuPq LGWU6TDoXqqCeGyupVXOusMncQJsukNdXNC2gYTlHq6VJqOHAdzbFXC7IwlNJ6tXt31BJse5 nWQQh7LOZCezcbnfmpmJOJ543DjYZ0z2wSIfrGSHEjtiyuGat3lcBkyXdDt0TCyZ5CHhPwax s8VLTz29FYbPr8GyWTmmm27TFdpLi3optEDtnCjdvgDN1611CdCIQNczgSrGmEq+FiX3j7Hq O/HOfqPIkpG4PNTTO7s81dMTenV2ybwtb/viqHpfbSjB1RVYUN//8+Pt2ydjH0qmWvZxTNDu xgyfenPcXm/SK8zo+PmUYle+OxyYEhCO5KGDql8dvSOpZ/HvSZyaqYx9XQTEN5lZs/NzCsOH zZCSnGL25UPpDfUrU+auSu9KVlq/vV6A+iFp6GxqjsZJDGXMjCqnkGkTEN1lb5YETeJA38W+ Axk04yT+3E4kMYdAS0Lf1oxXsHu8dFNbkOvpsSVgY+729X2FRQyhn/lbWlh0Rrx1IhmKMCRw Z0v2qJp2dLBHOdMkkYeX3KAyZmc5HJhCNEPTaqXqChlsZiZe/WWh4v/X/32ePSytY/arP3sF 3koaRES74XbH2NQDxaF+7V/xfH/ncZxk3RnooVbtXVButT70y9v/vutVmR08j9XQqoKY6Tyq 5713r2RecS8G/AIgTuDG49lxVwQHhx+6PtXmEw1yLMtUHuLhZbSWToh6p87hO0oXuoodhmxS LlygQ06xN2EgJR5ui5Q4SkYqL8KfkMpPVaWsd5B1pSPiVfIQAprfqEIW1vIT1skmGzeqHakc qrY+zfExuz12stL4XXczTCbxcEE+YM9llVme18s/HtSlGYsgi9VdBwWc83NVFN0MBGymuWVj q6wcxVhvHQDwVZm754ifc4zqmThnoWJfcX1oEeA7HzwORItTl9/z8FvNiy0nSXcHlVWZjlfj mZq+zCUHGstiIhWxEXUHwRmwvlsZRCgaV7L8puGB33Njlp2XKP6hu3xkGvrllhcjyaI4t5Hi Gnh+bNP5kFZPTVW6qgM0urZvpSHI3lgY6E65k7NURSO2+Sm3iMvnu2fe/JMT0B11TPBYPrvB crydWXMy2fO+BCuXZ77j5HFhYYaJn3oRUu0GizaNa1jgsHwWaTFzmDV8iPa6Fpaa9jwPW9Is A5KJcB8GwE3SILXp+qbIPRnRRjbQjGES++iDyY/iFGRQVnP4U8GSxAkstDCLbUR6DLQ7Tc8v IGvYyI+RrtA4MpAuB4JYu82kQincVFU4Yl91llEB4sguzoiHsmOVC6N0I7fZ+E9RdzrkPOar mD4ibCyvnF1T7mvoUrxkNIxMqcRg8DKNrF6vX+jngvqeF0AZllmWxej0bjjFY+ITqfzuaS56 V/3zdqlLkzRfC5J7mDJs0NsvtmC29w7XaDQlK7zqHnynR74ygDS6ttK6I63vwa0hnSNGiXIg caeKt/k1nvBRzn6aOjLIAqiw7hxjOvkw2A+HQrhDqHJolxR1wHcASeAAUldSKZIr95ADbUsL 8wLqCk31bZ+fRNjloYO3mxbOOTo7SH6Ovq7qpHvWfK95K9lx6oFQeES0/jKiIs/QLW9YxuhA d2EsaRIA6fFgSwHIkj89OMWoEnvuhBXD+xEKBwn2B1s4+zQO05ja2R1oYRPbwg9TErIWBuB+ ZCvS88hnbJBcE/uEtkhgDAo8ilfCKw+zh/BuqsKBg9fMsNhCz0+2BI71MfFD0BD1SOAI/aNw OKwsDExZDn6wGbCLh6bN1UgSKyAmBzB2JJA6ATNemgk7LkqpXBkQAg9W4cegO3Ig8HFBoyAI HGWJgshxPVDlSRz3ETSeLQXLjRffhyqFQ4mXIItBY/Ez0P85kBAMqEeoCj1kFmSAhq3E4LaD wpI4NKOAwu2JSPBEW8NCcODAcQLKkKmjVwD1mrboQw8psbaZhuowD0Qry7FIoBWyfj2ksXSK AjNfgS/uLV2mTULYJdvN4HgMdn221YEYjEZqm0JLpWnhzqgChygxEjsS22qzps1gazP6tlJj DHijTWGIA+gCpnFESJcIAFanL0gaQg9MlSMKwNg7jYXc16z505V2rqdiZGMZiJYDaQqnWgax Ffi2pDhP5m0JwvL1XwGahwGwkDr+gIFx60XBbKI4oskUUfd6uNuVrzXiPqkWapBgb3uNJ91W 5/yxj34PL5At0+yuvRX7fQ9KV59of2ar555CdAjjACkZBsz3Gqzi1ENP48hxUrEy0SYhzNB5 0N0DturfFpCYVaErs8IREh/2/Hme2tSHYjryXPND4D2cXRhL7Pqc6XbyYJYMoyhC6j+fSEKg rmt7JpHtLtNPFZt9ty0AtsqOvCjYmtoYSxwmKZjFz0WZeR4oNwcCD+rHqewrfzO/14YVGn7b X3kcWHh5euZQfVjk2hokQ+fTxo106HFEJhkjYyOCAeF/ttMr4IdlWzHTZXuEVGy1YJze2RyB 7wENzICE742CqrS0iNLWt3XkgmTQ9JToLtw0aGhxjJNpsl5/1nA01QggTNCMQceRpvGWrUrb NkmgCmBGjR+QkvhbKiQvaUoCxxYIg9LNjQgmaIL7Rn3K8aVRlUHd+lXoIdTLY5FCpTwe28Kx j7uytL3vbY52zgB6kqADg53RI9S/OB2Wve1jH6R/Gf1Ad5RdkCsJ0zRERxgqB/FLJBIOZb4j FoDKE2ypA8EBCi3oQE9IOtdV3L/R7uYMb9icMILJWELJ6eCoDRs2x60dCslSHfcg18UBwupn I3+v0vd4CNNVbc5MwvDLlTrMBPlQGx3rgtpYJR7MPRUv6+GafIr01tJ/eSazdfa0AI4YEQt8 HWr5Puk41D322FxY5/e3bofuwspd9bdrTXFwFfTFPq8H+dAAkDv6QD7w1uf6A04L528nqZXW FjKHeRye2xyMB8C4IGV12Q/V88K5KYeqPTfijeBNLu6mChlE0ByQzwzz+H1LB/uqEmlhdzxG J21r059COw3aV/mgsN5H0vlEtkq0RFCxk+SuiQp1TVHQWWcPN+X5VA9P164rN7Iuu8V/RM12 jlNl1brMMy8JbH7ulX8nzqG2f71/4QEbfn59+2JGVcuLvv7ANEAYeRPgWf0atvnu8Z9RVvLx jJ/f3z59/P4VZDIXfXZtsOvKnYxP1K4rp1O9mZe3K1yZOYLBO8s01uJ5FNCTxq1uxMMAhXZF ODnC5BjlUQ55Gge4YzlD08Mq07evf/397d9bLexiWUXB1Exn9q3nv9++MDmjVl0TdvIsKb9O QZakaHCJO1ZuMT8d2djgu2RncbhhdZBrPhbHslO040IRIfY0V6gFOHXX/KU7Y0eXlUtGHBdB mefXwJH9sLJ3fXUSYVRYwv/yQHrWrQMhwOvbr49/fvr+7w/9z/dfn7++f//714fDdya7b991 p841nX6o5mz4BOBO0HqH6i7ybj+u6SE1xRQP65OraL9qQAxkLlRVqAL3Di612EZ20kfTyqyt TvvA5/aKjYmOOqHGl/4pqCDz8xobBXmt64H7fIGyNOzDUgkmuiwwVd41pzXw4LSZXU7bLEg8 kB2PMTO0fH0NqshBmrcZrqV0lo+28l3i9NlJ70dWSc9HRZojtqK2vwJ2GbUPACJ6mp1If5oi zyOwz4l4xwBhVsEw1rAFlrP4DSkwM2FCqS4vA6BkKVvahNzhZhiLrbSl/z5sH7bCDba7BT9M wLKTziSBB8vGbKeA91Go1BiYnpveiTOVcoZlWjnabsqH0ZkAj8HLZ9EtgY/8ZgsWigiAu5m/ cJdx5S7DFB6m3e5BJQTfluyrss7H6gl18yVsNsDmmzywbvnY5DTdynQOtiEUzD8mcXjNNcUz 3/iyy7BeIoXjYSx9P9vsdmIeBgNThG0BwHILEEC0iHknVYu9vMGu1XGOeGRxiltoFutKNWPP Miz1QjJ/oPT5Q18WZp9ZGrrnZfT0TEQY78QoOZuGbnng65zntkE6ku7YapjSetdohgeFl29Y sXOVXSHrf92OHY9BqF6+E+T5qb+2VuOoyVRlcECdSBHxhIhzwoc2L25Fqy3cNdzlWCyZTKfU +1sS//33t488qNzyioxlkrf70rLeOG1xD0UNymD5kM6h11wuxHdqSF+NzgP68riuRdean3Do 2BRmWqxyceapm3mCqlynUVPh0eQmRDN9EDjS8qc/XJXLaV2EpkBmS80VrnRhge4eKxjq5ZOu ojqN3yB72oVZaNJFJAam/3Lt5WWGHJga5dEFDe8YUc3CDydTgDNRj0enAkhefeC6Ri7giZVs YJ3BUXk2YbIlGeW9xRDrsU4iNuQdMZ9mjjieZLAn9eUbZhf0oqWcpaqfaRJgL1kOP1UtPrfg ICFMHXtGG0hibEjNclqdqYs3qtHxOJ04HvJeGRyn2jMDyTx8yCHwMQkdnioLnG18vSwFgFyq V/HoS2+2YcGJDjlyc0eXzOKYrJwCz5TZgWtNe6U71Z9IrzXv4qp6agkoZpZ5GGMvdAt5eCIe Ot4QmLR4zZaldZQmkxVtXuMQD4uKrhkYI5XeL+3pqbYxfCRSYE8vhHW9wPpG3H5wjal8N8Vs OkZKnxvdzsLLZxiGotW1j3knhNNGHk42DNmoHWlhNCrHmz7MYNik+eOmVfoMd132vVi7bSvc mT3HaawEU/fAlwwExWxYYekrbRRLXNeEZHlP006EAGrmB5hq94oVsXT1tfGDNJStqAFNG8Zh aEpc3uF0zXfy/qplAkgyL9X2h2YYdKETaJQ2AXITEKVvY98LzG841dGmEiYZPChdQaJ3Q/OI 5k7TH1lYv4+MMTleI+JPJpFHr2568aqcMRQEJABqfbQ30rnfIVenpHULTqdrh0rq1uymkXdf 4Bz4uYMeEH4lOu803Tn29cQWQpeuGTXv0DsDfyLvnDfcIZqeNbncefjxiTg9uXOBlNgUeyDJ 5ID0KfkOcWuV6KfVCljGYYaUucJyYj96LB5pRG5+bhuqCmabq4roDaNQQwLdm97A0KSgtFh+ isNYvYhhYIRAQerBOO50aYShZq1pw2xVmBH3WApSP0cYU1NJCAXGJ4fUdyIBlom4mbTdSqb6 1hEsK0u3K9BYhDHJXFCSJriki724WVbOFJMEJb5sTeHeioIDYDaSRMiPwuBJYDeZbVDUHwSk PtNslm2rVlnolFlqejg6mAKX2OUlgUdyYVwke5BP0ftMwriKfRz5uII9ITHsLRzBGq/tn9Ms wC3AzHgfjpJ+V+cUtQwPmxHFMDXTqlcR5zVChWl/fq18rJr7C1M1uBcJiDiUnAAz5Cio8Fxb lK7YwBz69oiksMYZdoJnurtd5INPFoPqEjd25+JIi6Hi21Yjf/4EFea+WrChMSIebMNhbC+4 3WnQ9jn+iEMU9wkatyRN4Hg1L+YpCFheKGhzYDac90jRSJto13WOR7BMzstQ7XfnvSNPwdJf HyUkzLbbpVXfEFZwVi0vyR1ZvBASwKevDJ70hGTG3Tv9JIS6AS1kdDTAPuU6E9M80GJYlj1O zA8dTbkseB5nHeCOLLEI2gfKkgdkvWylb2Z9EX5fIN/ZwMeINOdBnmKQN/mu3qG94qIqjFUV p5y6sd4bUTnFCYZA+b3/zhHNQXIBDrFJe/j59uPPzx//go+2t9Ot7s+X0LWnUKrR1NgffH+6 vpW7GlGptkTj9LK/5edpeZMYpz/flaVVs5+faVGwp5bOz+na9P1ugcxcRYIs75aOTIX2XdMd XljrOMIE8k/2O/5mOXSeUrj4c843JuySLVeGlj9zppwoyeqyttJph6q9iW3/pahGLTRsDab1 /u3j90/vPz98//nhz/cvP9hv/OVcZVOdfy6fe049T7NHFoTWjQ+d6BcG/grayAz9jEy6cDUw tkJYucom3ZOGVnkwXkn0WDZFqecjSDd67K5skJZsyjufdPm0ecO6VU37Jn8x2r9jnT5XS6Zm rAvjcnBEFxTgE7yqyiHhKFZeWTHb2hSwwJpL6fq2z09VszRo+fmvH1/e/vnQv317/2KIRTCK m7rre59mXjMLPdPbq+exHt3GfXw7jWzxBV9IuH+z6yq2rOLmcpBmJU6X84wX3/Ov5/Z2avCu 8Z3drDNgkXuQmwWrmrrMb09lGI++uk1759hX9VSfbk+sYExLBbtcNYY1thfuUrl/8VIviMo6 SPLQKxFr3dT8LLhma8kAprUy1BkhfgFZTqeu4W+Ie2n2WuSI5Y+yZoszVpq28mJPvxdx53qq T4e5YzMxeFlawntTityrvOSla8Ynluwx9KPkirJX+Fjux9InQYb45oDct6bMPPUmi5ISA3de GD/roRN0hgNbZiLD/c514lNbQ7yIHBv9XqrC013EOb3o0/AWP+TNPN/SfJKp5c8J8vfc870X p9cKXkO4s3dN3VbTjWsj9uvpzHpeh0TSDTXlUUKOt27k+0QZ7AEdLfk/1nPHICbpLQ5HiovJ /s9pd6qL2+Uy+d7eC6OTw9y9f+RYHzz86qWs2Qgf2iT1Hc+oQ24SwFiLCm932nW3Yce6fBnC nrT0NZqUflI+YKnCYw6Hp8KShH94kwf1hsbVPsqLs+gb3262klqzgMVISP7/nD3JcttIsr/C mMOL7kO/IVaShzmAAAhiiE0oEKJ8QWjUtFvRsuWQ5Zj237/MKiy1JED3OzhkZiaqsvbMqlzW HfwElSY+kI8q9GdBQHMap6eyc5379mAlJAEIVlWX3cFcqy12Wc+sr56MrZ1Nu4nubzE2ULtO Y2WxrAnKm3wDAw9rjDWbzc+Q0KMlk2x3LUlTFhhK6uLabnCqlig83wtOOUXRVCVIM2t728Dq JZntKVwnb+JgnqJKLGtmS2/qc/bQH8ub7v7uklCP/xN9mzKQNMsLLrKdvSN3adiIqhjmyKWq 1p4HarQtizyaXCF/vq/TKNGk0/68HzCKaIJ24G8fH5+uq/3b8++fdOGNZ5oWC0CGHmHw8NUA hVD9GB9ONwAVPK6Sis7Q2gh2mKzZ+ZbW3yhjwHdRHOo9ncdJgNb+6F0WVRe0JEjibr/11qDC HO5n+ru4zyYNRakJpdyqKRzXN9ZfHURxV7GtbwoLI0o/OEHkhn/pVglvIhDpbm1fTKDtuHob +ydcMU4zLWqOaYG+B6HvQGdZIPmoRTclO6b7oOP3xxvfOMA1/JzooZFtFivZLmHloDgcC2fX oVLi8fRgVvgejJN8hTt8UEWWzZS4cYiBMxRDc1/gPxffcRewm+3lMoONKr2LUAkKonbjkc8g 46LIj1G19VxDDlGQ3b83tjU3lpOGYQK74LgHDTriLyaqjtsTgL5JuhnML2yl/XVYJWe1ahEo XAUcpKDweAvJtbfL1vE2ilYxoFCEtm3KhVqmcOSICDLC3fpUqXkKG7hzRxkADiR1XAXKXcGA gPNFeeuQ4BvHq/XerUBUnRv2IR3k4aLP0IgxFRRf8EamO+AdVcwaRu3HIFPGRcNvHbq7c1qf tDIwHUIdFFGZD3v24e3x83X1n+8fP4LqHem69mHfhXmEYXYkS/C9uF16kEFTNcNlBr/aUL4K 4d8hzbIadnCJXiDCsnqArwIDARpnEu9BmzIwddx2VXqJM3Ri7PYPjcoke2B0dYggq0MEXR10 epwmRRcXUSpHPwLUvmyOE3wceMTAH4EgBWSggGoa2J1NIq0VpRy4AYBRfACZHeaNHMUQawzC U5YmR5V5DBva3woxjUW8IcDGNpjbV7/rU6bGH49vv//38Y2wyMTRmPI3yKWnOXUvDQjYKTTS qq2pRyzAoPMM3ieqPcCsSLMUxGLRMFMv+BJYPvWYDrh7LdIAlnvsRMhX1N8oMxLstFx+c+4B IDKGcZapM9DRmwmQ/kKxjhN0YaX2cey5fd4ll8b15DcqgA8BDdXZEGy1jujNG7TK8xjl4zKn fV9x+tRlELFjTIbuRe5BD3XWG6UqdNqwtYo4bLiJNS+SdcLijFem7F+OgYE9EJZ22ii9OqJM PvgHgwk4wdGAPVA3bSqZaiGk4FqYkLe+F8epFgChp3BHCgPlzaNEuSyaw4gLcwqTw+54CE9d xaOsnmQPNLXsLI6rLjhgQHRsoxnFmW8L+MFhL/QEniw87q9wI2JnEKXjCo6g1LIKHJ+eLQOJ EOSWunekNCW4kWbUE7qoTRfxqrREEAiprmtakm1x7EYzRtY6GYM5kS+1bbgLq44guoBiIt2Z 0aSGMi6rdDdHaig0zyuuYk3VDJAhZGSm2I4NSNUqDaCjcntsk0BFHfYya6TYITyFH5/+fHn+ 9Mf76n9WsAcPNmLTe1NfJt6vhVnAl3SbhtLZj5jMPaxBkbEbOfkjR+QM5L7ksFaMrzimaR1v fdeSI4kEQhCljrQBq0SdQmATlbYrXSIgrE0S23VsOX8ogsd8Qwo0yJnj7w6JGrm/b4i3tk4H MjQMEgiRWm9liU/SNuknMUoPM/064YUHBHeAILCnJrI9SYGfMKat54SrZrI4TBTCz4v2tZ2o zEQfEt8Rmq7QYawVGjkeq8SiYQmuNM131sEsake3OgOVjgzmPJFIZg0GzjT9nXBqjGupytaz 15usor7ZR761JksDke0SFgXZvjiSl/aNBTx836ZRXGqiaY/qz79p3pZJSeqlxmv0UAIrz4Wk fPCfXcmYYUWuYtCBGuZ+Su3RrJAeguCHsJtVQVWYG4AuzmROemAahztvq8KP91Fcqd+z+G5Y hgq8Du7zNEpVILQC35zVQnNQkGpEmYzNAWErOidpwUyuBxviqfsAET0UAab+AjGjrMlIvdgQ IQZ2IL92gRZEGNBtXO9Lhv2fFs1ppgxDsBuBw/czH4ZN1rUBvhKiYqw2C3r4jC7PitY+dv05 zx/IXUn5FDttrt1QCo5UF4NE1ZiDa46i8KDTOp8zotKBVFJWOtMg+GOJsyznTRXQB5xgqE6D rDtbvjcXSArLqM5a6D9+bh+j34Lvvz+/yrEfRpgyzTG5BKjeWVaiXcGH+F++q/FBB9ktuKVE fJ/KlhIyFK83tM40Vk55OdyrkJSpGvNYYimuTxTW9vG+pKxwFDbQH3gt+/Yp2CZgYZDPIPNS dj8aUIcgjI35WVJKCNoClscwVa8WJO9UwPdrUQWOuspYCULPWZV2+zP9SC8+K4q59EqIh2Pj 2B0D0GnCSCvcmEEIw11cD1KD8OqPH9+enx5fVtnjD5AYjUsIrKs6KnlQirLi4EsYp5S1EOJ4 fInednK6IgyObalzqLRaOKVDfTPFYrep3cs7sk3je7Xn//3B3WzWI+f9sllosMpHEkQJqaw3 D5VsOsR/YuoC5dERf3dhSEYp4B8cI4cxkBYlYUgghI2cbOkj4KwBrix/rfo+cRQX3nQPr3F4 mx9fr7+Fwjvk68v1r+vbP6Or9GvF/vv8/vSHqQWIwnO0okgdKMlZe47yrPX/KV1nK3h5v759 eXy/rnJQn4gwQZwJNE/LGj3Lj8AVIO2kwYAnZZnb9cnzCVSyuGP3aRMeFRM/0g8yj3MM1XZS jQEFbM4Zm+doZO/PT38qQX30r88FCw4x3hSc1Xslo5Tj67f3Vfj65f3t9eWFui0o4nsUJaWT D38JXUTSoEZYJ/zTKQxIQY2IyKCh9zXu9UWMlyz3aElYJDxxLucWNQuirfzDIGgse0cfioKg cNa2t6P0KoGv0zjTuAlAt1MyGgkohux0dMbD3HfsLQX1dGhYr9eWa8l5Pjg8ziyM+63EbOWI 5lzXKevKvEh1ZrjGptNzoE0BdbZR9XEJSn9nK3vECF/PZAniBDzQDOk6K9pd7mGBdXfnfazV qHoJicrQpVPvIQSq9uM92FvPVwtYb4p2qhfoeXIczAnoULV4pDd+j916a7MkVGeNkni+UW+h I5HAdxYIBq/DJmhmDn9OFgWhZbtsTQY4FjXd5wZ7o2XzfMH7yJ6LDy4a3jjejrz4QGzvOqN1 VsHMkS3i5rJPqRNQLIwwQBN1fblkobezLuYEXvRlGheJR4UK5tiysY21iZcp/k5fQilzrEPm WDuTiR6lZYnWNrjVx9e31X9enr/8+Yv1Kz966mS/6q9WvmMe0BX7en16BvnjmI674uoX+MHN BZL8V+kmjo9YlhayuYzoEJ6nQAOiX6UGYihl4vud3hjhW92vrdlRmvwUlI6ojI2LJbljcTuL sT+at+dPn6gdv4GjIolrevbjYw9GZ0ErT0oIjGFlmHI2hoZSktojQJxvsi8TAI9hU7IHSqlE LMPkh8dQLacHDtcF/3h7f1r/QybQQuMgiGcXHI4/AKyehwd+6VxGQtDKDyJKnc4px9Dm+LzS uu16Q/zRHB0rMmSogVg4zao+Jz0q2O+9DzEjXbtGkrj8sKM/vmzX9I43kPQRKBdpIoYvYAsc IMFGOldUuBbIacL5G9v85viQbz014caAwkhguzlnpolmNvCGRGOE99BIauaFDsVeyjLLlqNC qwh79hPbNzEXgHsmmGdgUPyHZITqiyxjHLrbOM5fmkGcYkv3uWs1ZIqRcQLdOfbJZKgO0aNu ZyIYSEy7dUDVdYCNylke3homNPlSJhF4W4vgBz60ParWOAchdml21y0QECOOcIcY7xqdIokx Yl5OACNYWtthp8BLoMWdAodj55iricNdfZ8aFy/pKysTELMQ4S7RDA7fkAvakRP6KKvWImZ/ vVPMXqeRcsUIEoPvz4WeUNatS8YRUDYRYthgEdiWTfVtWGHIcwXObdvErZ08dvjeaO72xJg4 tkNLeio3y/sYn5i70DZknurl8R2Enc+3+bDsxW0QCDw1RL2M8Zb2FNzftxgQPk/VVL0qwa2D x9/SAa0kko19u5iNS4rrMsV265GTeqPmd50wtkt6nIwEQ9gI41PWnKxNEyzOUnfbbH1qnW9B C6C6EzEeGStgIGC5b7u2Web+zt2qcV7GCVZ5IWnqPhDgBCSWvOHyOTScxzyiauLRy5dPKO0V csB8eCju8jFH6OuX38LqvLyH9nFmicEWoVWJLW+IdUmxfmBZd2hykbRxWe7AcJu3KbqWS6Wz fYEWDuS0csLFwkUM2qXRrF1LTi01dtgYfpfGYfRdiqEkLuI6XWpK22w91RxtbAxGslpsDg9Y uySBX9ydsyOWUGsOsIhQ7GyJxvfRgU3EoYH/rS1i+oflcbe2HIc43DB4l1kUj+xgHpx6XMAB gRfo7pqai1k1d1kkUaCaTPDAI7SZlfFrf3KEipbWE0f+eYjcZZLG3lhLwokIhEf0TbPxbWIv u+CcI2SKjbO2TGoeqsAE99FhicnODZeHAx8vCdj1y7fXt+X9ZrRflJ2sMbYl6qxmBHRA7c+H 1etXjBYlpzl+KEK07VWf8u85nH606UuicAIFQ9TGvWEzZastiAa/ctmsWmCOcSDHWpWhXDWP c/mFR2vY8FVwvgwOynLkyMh1N6TikeYY9TdMU7TFmSpHD3m09dljFpWDXJSMobdfiYLfry8R ERyh5an5hI1QbowyliAgGL3xTNbQRhWdqLblEW/178Rrw/PT2+u314/vq+OPr9e339rVp+/X b+9KqIIhDNkN0qm+pI4f5h5AWRMkmuH08NU0zzVIV6VVLA9VXebxaPylXK+Edcm6mH7QybIA vb0ko7HpbUYkBz2WDdpxkIz3JOSrbYmRuC+ltZFEwCOGvg+zk8R3dsIYB1lZns6VSYgP/FUg v9OLK7y+kKmJI7QXlIxBDV9exycofmuJkkV9/Xh9u37B0HHXb8+f5K0hDZkS6hmLZtVW15X6 efCTpUut7o4sOlHNmqJF0e0D9M6dkc4lMhG4jBgXiYYn6P5Mfo4Zum9VwVLPcWmnXY2K9HRW aeRXJhXjzmJk6zoJs88tjPJG9W0YhfFm7ZOfIW4n55+XcQwktXUXVjPdhQIrC272WBLnaXGT ysyCTvariHp0s7BLin+TGV9sJLkr6/SOGiDAZcxa29sANogMJHayT4V8QGGUMFUSvLwUAZuZ 3m1IKZXy/M8r2/Q+k8eCB22cTSbFOyVEAy7qWpzPnyA9BVnXWPr6x1zyYXjGzpgteqCJSFsR ThHmIKFZXdRKAuqA2DqesjnyqPSYq4GG8hjYBpt9IPvlfkyrWg73PnwYPiSFasYyYI41fb0y 4AtGxUKesLZZGav1iqQ4Ard3ONhX/BD0Zfr+SielLz1UKn8mgLRGRSapVmk2u23YKs9w6uZs yybe3EGCpzlTBNHmvJfIKWuxiQJZn1lSe5B0yFev/BIap3GfIE1ZWwOUKmNEVkQxd8MdQvrl 0/XL89OKvYbfTKkeZJ8Y402EyfBEN5Ul40wlTcfaHv3sotNt6GHWyWhhWSK6YCS4OYYu1pZM +DvQNLBNDHLMmPmM6CdiAp1ifKUr1MyAaR+TGiluyz/59ffnx+b6J9Y1DYW80faJSubkENAz ZzI3a1SkNqrQ+Bvfm60GkWLDp18yTeIwyIGUFq4ERQJa4sPcEdTT5PnP1gfq0436Wh444AZR fkhuM5VW6TrQGLtFv/979NbfLN/6m+XbevnL1PvlTtnc3NeRioyfrdD0lx90AYjs4ub4Uw3l xMf08BOt5KQwt+dnBlDsFlA9U0uM7wheaOKt5dzUK5DKp99QDKq+Zbc6gZOOa2ihOFgg4YHW RAliffku0LZicd5mdOMscLhxfr7SLfXOo9KAcDNfGSCJ3p3XR5XdXjoQ+osKobN+fnn9BIfP 1/6pS0m/+DPkJLNosDsjN/QJqHQZMM7jljwy8JMPgSGW1xuGMcNnhdN6G2ycwF3Eg1xxAz8v /Ao8HWF5ws+srBFPy5QjOrBU+UpA9yQ0XFPQ2Ow4hG+oN7MJuyM/mrFgnfCkwj9ibYI/9al9 ApPq4Ij1qabufKpbdr5HQTdkCVsSuqOhZLmBTgsQP1k7tt5MdoTZOTv4fV5guwurRCtwTBks UGrfIfLM9vBdVoYnvHBeXoRYSJczVmuVKNimorGg7PrkIdWHE5twfTanoM59V73L0wjO6EnO r14UT6s+RST1pcDZ8zjXmbs95NdJh7QlHb8waZ30nZ5XloW7rb/WZW6Dwgn0r3mtMw9uInNk GJ4VffBcpG13sEJQOhgi6cvkc+Gt0y7A/r1BYuGV1k/Q1DqVSnP0CU57xMKnLi+d+jRd4sqH zxxriWILFLYzXzHiHaevWAVvnYZgCDBHozyNoHWMIVHwUWxTNdbu2gDvkBGqY5B+lg1p1WEa oki7pJIm3RB7Wl3LWZKj1qo8GN2zKi1w/5hRJ9nr9zcquR737+zKw1SDgFR1uY+Valkd8qs6 udohZyP/hmzrmKpxnmTI6bpAMWbbXKC574JqbxL06EPT5DUms9WS4qSXyr1cTDdXbovgzxZX 3md6SXUU6CCxdEwgLJsj08DCwczgQ9gILLR7yFA7TzFk+G2acIFqyD+8UI6YA5FIzoVptmam dx8aaKkykQZ1rncxV5/RE1Wd5oG91BOwBNDZcqZQTFAEXcwDfFT6oPRtq1LWYIDA0sDAQkVL zx9GdwzJlpa6LK8YLZMGdT8kMzbnde+Aje9ZpLkVULSbnD83C2+vsYMxXEOVKg9jAsgo78Gh MX1MUXwOkGPh9EY+s6sBXwm6umJ6t+bNyZj+PMM72fv/Fg75cvAfduw7IMwpaN6cZQuGXsYp YUwI4iaXNu947NkmNRiZQmkbE+QixTg5bh1cmnm9JWCWbwCrs77LYvx8Hpus0a/XxdRCg5WZ BRRCP1mLO0OdsrCdHbMwgwVhrrLxxnO22IEC+C7JuTQQlOqzbJ6GdYnBN3GEfVe7/VV0V+2w GmdTkGb7Unpfwe7LETLe3A+v411+lJyq5RTs9T1M5FwpBtg6ccZUcJA1MWzJKlBc32u1ilt/ jbLntlOTEnCn2KAK0VlFTeHbYX5irQhYPmEe3WnVCdEqZ4lCzBdWTzh2Oq8OajJ9cOvr59f3 69e31yfSRjbOyybGdydymIiPRaFfP3/7RNgCVcCsPBc4QDCXoBcRAoiZJMgkU5KheqUaSfDC 0B7oVG+0Fl3nf2E/vr1fP6/KL6vwj+evv66+ob/Tx+cnyTF1LAoP+CrvohKGsTDNlIYbFfZK mD4JO8YwKNpATrInoPy6PmBn2VJiyFiOHv5pcSgJzMSLIaV0cTzDqkaXjxWQg0q1STQWOur6 O91WTPPeG4ZNC0dEuESrEp4WRT6CJhQrypI+NXuiyg749zSzJk/y7rizOGcp/TY/4tmhNoZ2 //b6+PvT62e6vYPEW5X3yqkGhXHXXPn5lwOFh5EmNPMHYV4E2TiSBc5ccan+eXi7Xr89Pb5c V3evb+mdxue09M9pGHZxkaQFGTq2CgIe9IyVvVFdX/mtKngdz/+bX+Yqxl05qcLWvjUr+Qjh 4yPZCUYV4nkS5PW//qLHppfl7/LEFPCLKpZjBBDF9O7r0+Ur6QXf78iU0AooWFt1EB6UvQ7h GAWhu68Der4jBQsr+lobkXk+XLgPxmwUm5zPu++PLzBz9NmrHggBhvy5yykjAI5HBRX9OyJl 3ortGo72jgy7I9BsnxrfZFlImbQROdBGUBUZpxjLo5ljQkQJCwvGuj4N09hRZHeoM7CXGqnj Z5ALkloxqRzhaSmm99K39MbNNx8hbM8uDa6ugFjRJzWFUTlXGSnLjdSOQa1X2tDGGmeu05lb Jp86l+eX5y8za+6Swvl96dr+BqTvduILmdcPctzeDxd752/UfupRJxsUdnwpbzK59J87zEeR EBM6tYc6Hk0c+p+r5BUIv7yqC6RHdknZDqHUyyKKcT1Qu6hEXcU1ip5BIQcgUghww2dBq9gC yARj/tlbNQWMpW2st4cQYwIeRZrf0+7PbChkVtnErXuGTlZJ+VXF1KmqvtrP2qWqpiH5v8qe ZLmNZMf7fIXCp5kId7dI7QcfklVJMpu1qRaR8qVClvhsRluSg6Lea8/XD4CsJRck3XOxTACV eyIBJBLQQbKYeuSmjsicTL2Rfx8eX1+6qJFcPzV5KCxRh+3Tmo6zMyLOzszsqh28qLOLyYX1 QqPDDCkaQa2p2ET0mq6sr2+uzoRXcpVeXNh5cTpEH6KIOwlAJi8tN/FOoY9LkYbURCSQM85w 3UkmIAjMrQWJbnHJFCOoMR+hvVKmykp+CDAEcXaBVADzLMwchwPIfZye3sFvXBZWWku0PKBV IJN1G1lMGDFqzg29dgdqM9nloTZP2ZQbCYqm3MZxqfnMoAJpa0JZRMowj2p7zzyNpjiuBrwz ndiVdnuvKnP+cZRiZ1qbX8Yfwzt8A+QMH4J0MGwf1C4xbqcbmAPRqHYqV8tz8Cudd92Gkvfj swWUJZwEDqwTfi3gEDncKlM/z7IpO7OTZQQE8FLN7viHNYhVKeedrzGbiV0pQKZXbvHIA+uC ny7C31aX01P+qQLiQbeZ4HqCU+sYjRuuw8J7b+VMHKzjLnKv8412Agt9tnEWEO3EOHViWiKG YsVcO/OrLV9WjXhzGait3zza5mV/1UlGgS/He0jrq+ClHyGT6XVUJLHdYnpV6YJKl6hWXlW4 w0M1ddZeZ3uind8uVz8cc0qulYwCOkCHXpZOUFwD3T0XtGr+vOmPSFXeUh5FP2AaYHC8rYMD NpZieSeZYIWymFg/mSrDt9/lbcFLvD0VVMd9jf4ghOQF3m4KqRLu4KnOr0FChe9Za2XUIIo3 g3b1L68rr/CxoPJ2uGyD7sdsiD3KdlreVrW0bpAQmtVpY1oUyfSKtRkHBK3gtkiUAezOB6we JIoZqOqWxJ7kebZA000R4TMivu2YpdTrfK/nuqvC6DIImis30uMwZujlDD/GQODGeCJO1Msr Pjc7YTfV5NTKtYvQ7ohwocMh4VTRCyjwKxK8G3/njV3FqyNomCA+bzAhKQHVYu33MMEcgJwI 3KE1m/e/C/FuA6t9ZEFcZnqN93nBr5n7KY0Y1HoWUcRGNkoNN7z3/Tbga6NgG7RS5PebWGNa TC7Cgw2K27wwo8R3YHSh8AscvKSD5Q3X414Phr28SBru1NBU+HreunfRF/O9j7/7xoCn6t4H 6NATy/uT6v3LG+mmIwfunoJ3QT99YJddzEIjuBclKMRrbUTVQmT/mGfU4YEKXQOcIKXjEQMf 6RtpJ9CpjcerhaE5zw7yhj62RA+NQCcSDMYZKJeW/fWM/JzsPvYW7qTHWSV32MlUEDrYL5vu DPilYoWFgVRsFkTENQZxNARI0GWDsEeiN+FCXUu7BP0opy/aaqN+RhMY/MFPgjzBvJWg3+Uw w5dVU5r4uIydL0qsTtTCaTmCcQr5xrnjZtEMjgR5WTpaO0sX8+FyTZIK9qj9wN7CiuSOfxqG VKQB0tuVIwsag6Enof3V3dvp4bDgdMnHwPE8woOaKapSlN5Xz5E15vokae/KzRQdJ3BpcPgS hBj74y4ww9UFwqOkqTBPixPzmCaPDlaa7eBodTShGMc0VqSCQ33QyqZmjwCT7JoiYHpcAhSF dnqdgZ5WmZKOhfLHCFHeeKdpcdbxGxOKTgXeBCC0sZTkDripfFpRFMs8k20apzDRpzY2j2SS 1xgaPZZOeST1cBywu2e9PT+d3BxZjfo0hgXg7GKCYyAXrthbl/O5BBThOyuqdi7TOm/vuMKR ZlnR6LOVUBn8NY3Zv+vTy82R/pWCbnO9KRsdYJE7uw0YbOUx/drwHssWJe00TBoRaohF6LNN Gx9XKma21WjDP8YVByqK+xxoTyfnx4VOgmGPTockJqXRTkM6gqPN6O1PzTw8iwNNeEENgpO/ RU3UmT2cA8pnbqNWtYyUJzjUWkufnE1Osf/HJJeB9JwhtQjV8vz0ipVTSHsHBPzgdSmkItV9 cnPeFlPOSRRJtMXQW+Zxej3R+8NhG+nlxfnIUKzaKLVnu1af2faQkabTw4KCHQjKGGIiJHtp FWclZToTsJbSNHLHRVOQWymcbaxF0qKiMqwedtdAQziqQQG1JWKjWrwLCRlD0shPFVBs9/h0 5QGDNDy/vuwOr3srzMd4ZLZR6ryg79typAhDgRCMu8fL0/519zRK9CKLy1zFZk97GuNqR3BR HfoIrOZPP9CqBpNtQfG2yJEij/KaM6d1hnA5byrpVtirFhKdfIy3/zY2rwu/UeidGaoSD1xd n3t9ezsvQkbwbgjwNqWKRSCKWM9lqfTjJHzTdC0o51LjvRkg3oChWYzRGJhX3yfrk7v5JbCt vjTf2cZrql1hdofhvBeF6UZCIeLcGSPPrr4FOvjS+uSwf3jcvXz1zX3o/Phs/EBXbpAKZgLF MQaB/oe19VYCUF4aHANX5U0ZycF15JnBLYFR1zMpDMc3zT3qpVlTD2sX9ZKpbEBX9dIvqIWz jC2sqDmpYECPOYX6lDX+YBrXTAWbhn1upV4E0R9TGWB4nAyTQViYVJDYbufmMhDLxjqnDAz8 20bcvZpF0wXlMlBVlKdukdVMztWcY+21HJYV/NfyGekGyAQPGx3zLRSJ3JBxUPvOGOk1fJ+4 ZtOKeHF1MzUU0g5YTc5PDRdahNrh+xEyPD3oXWCY2oYTCfZ4YezwStlekfib7rkDN61VolK8 hnw2AZ1rTO9gYiyrMtKpI1lbUYME1iY5m/Y+zZm17/Ae9VZyrAt9r28bETsZ7UeP2joCtVQU dVPyrDF1PHXHqGT2jbpOArz7vj3RB7Z1x97l05KwnjCJfcW6ouiU1aYe1kPaGT1vy82YaXNK uwtgZd/4oLcFeurfWxTsTsDkoOV9Yaf5mmPK1lLV9wyIyRY7oGaNgmUNmrRaZAJHk80aWw3J sMej3g8jZywRwpF3B1eccHNr3zZ5bd8dYY40DW7Xosz4sdB4515YA+tS2ifyPK3bO+7lp8YY kj8V0Dvg9NJPU+fz6rxlk+pqZGuLM3h48eQ5DH0i0Joz1jnC2lLGCtN5t/DH8CJgCESyFpQ5 O0lyy5xvEKsslvytq0G0gQmjXhxtLeZWFphTvGd/0cPjNyuRehWJaCltRkwgPwHP6P+uC9ES 79v2/en15F+wHZndiLf2/IgSBthCEpfS2BMrWWbmvnR8Coa0XQu1QHtUBHt8YQWLwj96Yg0H O6aRJoOqdNBGHQ6Ra2yWGPMOPzDRuYCz5dOH3dvr9fXFzW+TD4akmGDOl1hi09rzMz64gUV0 dcZdR9gkVxd2EwbM9cVpEGM57zg4/gG5Q/TLdjl5Xhwct3kdkmmo8XZgZgfHv753iP5JDy+5 2NoOyU2giTdnlyFMcE5uzsJzcnPOXVbajTFzOCBGVTkuwPY6UN9kGmwKoCY2imJ2us3rawjN ZY/3+tUj+EgGJgX3aMzEX/B9vuTBV6GG8JFdrD5y5gmLIDD8kwu30lWurlvuKB2QjV1UKiLU 7ETmgyOJecM4OMhtTZkzmDIXtaKyrFYR7r5USaI4K2BPshAyURH38QIOaf4eu6dQ0FreD3Wg yBpVBzqvuP6DkLNSZk41RDT13Fj0oARHllbTAUDXKVOQCT9TjtUhUK6hqeXt+taU2S3JUr/L 2T6+73eHn37AX4ybZR5e93jU3zYSdSI6V035SJaVghMGhCQgBGFpwR01naAoY7/sNl6CYCpL 6ontqC2jRkuNoNbTvXFdqoBnV0/LnsoUJ3Upylhm0AKUBVF4aCknKoq6ZqUeGauJCzykkQIT DOqMyqabIoOGIx006Q9/vH3Zvfzx/rbdP78+bX/7tv3+Y7sfEgd1B7DRc2EY+5Iq/fQBH+k9 vf7n5ePPh+eHj99fH55+7F4+vj38awsN3D19xJxCX3FaP3758a8PeqZX2z3mpP/2sH/avqCu Pc64kTjwZPeyO+wevu/+9wGxRrSziIQTFMtAESlhoasauwPKlSHjsFSfZWlZ1AmIfhQrWMHs 2xiDAubHqIYrAymwilA5eKFMiW/7gbVj5mmKOex9m8B468EOTI8Oj+vgLu/usWG0cDvkg/y6 //nj8Hry+LrfnrzuT/SqMCaAiEGaM/W3DiiShTDTn1rgqQ+XImaBPmm1ilSxtN4K2wj/k6Uw gzAbQJ+0NOOdjDCWcBBMvYYHWyJCjV8VhU+9Mi0WfQl4weqTAjMHKcMvt4PbcWssFHqOihmo 1BTSnDNY2ORyU2NUAop/7ta2mE+m15h9/NlBZE2SeNQI9HtS0F+vBPrDrJGmXgIX9+BmurHi /cv33eNvf21/njzSiv6KGeN/egu5rIRXTuwvHBlFXutkFC8ZYBlXwgNXqd9p4Kt3cnpxQQmi 9P3C++Hb9uWwe3w4bJ9O5Au1HPbqyX92h28n4u3t9XFHqPjh8GBqgX2JrM9YP09mivr+gyWc oWJ6WuTJPSVA8leMkAuFGXLCBVfyVt0xI7YUwNbuer4yoyfdeNK8eZMQzSKm5mjO3S/3yNpf 95EZnX9oxsyjS8q1R5fPfboC2+USbpgtAKIDvurjRg+TcNfNkWnBbILDIC0f3r6FxgjENK8x y1T422Cjh9MG3mlK/VBo93X7dvBrKKOzKTsRiAj3YLNhee0sESs5nTHlacwRtgMV1pPTmN6X OIt4aWX+7SdqXL4O/4rPGRhDp2C1koOQP8ZlGsPyZ7qBiFD04YFiesGpvyP+zIwq3G+opRU7 bgBCWRz4YsIcmEtx5gNTBoY2wZnp2NYz00U5ueGOkHVxYceH1Yxo9+ObZekf2EfFMpWqZa9n hhWSr+eKmeke4SXd7VeOwAwJyufpEd2ihD6q6gsWeulB8erehc3708vtZiWSSrBxoB3+60+L LAvQY5gp9Bd0vc7ZsergY6/1RL0+/9hv3960WO22GKSbRNScMNzzzs+5V9G1nRxsoOSMDiNy ybGaz1XtPzwtH16eXp9PsvfnL9v9yWL7st33aoG3sDLMbF+UrGW872M5W1AeEf/gRwzLUzWG Y3OE4U4jRHjAPxXqEBIdOYp7D4sVtF3kB1MY/777sn8A4X//+n7YvTCHQ6Jm3U7z4R237R2N vdkzaFicXqPD51wVmoRHDUKO0QBvqViER1YN0MWBbvZnAEh06rP8NDlGcqwvwbNk7KglL/lE AU69XDPrHe+KQS1cqyzjw/OMZIWK8k0kGZkasZ1vGKoyPsvCtJucdEK109PATqQ+3oKOVFbM FI74Omavyzw6GCa2qRqrpv5KHbFaHA+3Aafg9JzNpzCS3poJzWy4qXBytSCJzEiDEnzUPpb2 n5cKHfh1qdUanyy3icw+wZHMEmEcBftO1UCrdFFLMpUEkj2NpNqjC+f+V5Tc+0OOTofzOd7J SswlLnl2mqIIbzM5DDlhVzK4RNIkX6gIHxv8qvppY9Qtqvs0lWj3I1sh+nmyyKKZJR1N1cxs ss3F6U0bSej6XEV4ia5v0EeCYhVV13jTe4dYLKOjeDYprtC7qMIrBu77K9KE8WPD4UAt0JJY SH2Vjhfd1AI1vq6PtvsDhk4ADfON4kVjCqSHw/t+e/L4bfv41+7lq+HIkccNrlNFhtNPHx7h 47c/8Asga0Ht/v3H9nkwJuqLv7Yu0Xc97q2z1iWkg68+fXC/1kYIY/C87z2Kls6C89ObS8s8 m2exKO/d5vDGXF0yHJDRKlFVzRP317b/YAR1/vnggZ6oTIqyLUW2cJxERcj5YaZAhsdYddY1 bRmbZz1GTZRt1qQzTM82PgKjBSCMRT48R4pUqyjJpmFLBg7QJZk3tl0EOxGkGgs0ubQpfG0u alXdtPZXZ1Pn53iZYDEwwsAWk7P76wCbMUgCYcQ1iSjXIXEX8TNlt/Dy3OrDudMu/iIaZAKt WocawtlWBqXacEjN4jw1BoX5CiRxeoxRAncYW4rQWPpwkOUZaoTy1CCyj/Q/DbhJP7K6zwg2 e6Ah7YbNttwhySG44D5T4pJTKDqsKFO3aoTVS1jyTGEV8E1O2unQs+hP5qPAoI+dB0J/J5lX O/1UYlyzKk9ySxs1oXhLZW4iCwcVmjjyPbvD/FfWgSgqjPIGG/wOhJSyFIa6gZcjKrf8jzUI XbRaa9MjPE4N2Z4cRADSijgu27q9PLc2CWKgfYko0TV0SbqOjc3yrEe0aWpbzahcfKPlesb0 LGiR6PG0Nl7RpKJaYcZLuophvlskuWHew18ma+nLST63tTDo8Dk2SPoGd0wLBbvZWPtqNo+N InIVw1Qt4JwojeGu0Hc3MUepEVGE6wWmIDL1wAKfehn3QvnsT7FY2F65ePqwPGA4hrzTxV2S Ki+lHnn7Tq4/4wn6Y797OfxF2dyfnrdvX/272Ui7/rYgTiVwACXD3chVkOK2UbL+dD6MZyfF eCUMFCBWzXIUp2RZZiK1QtQFWzgYOnbft78dds/d8ftGpI8avvf708neaYOmoqU0A+nOS6ib nO4+gWJx/V/GbBQYMxnbaT26FrHWDipzjwEUjl/YsLBOzWVFyx0FE7pBT1WVijoyTA0uhhrS 5pmdU16XMs/R83reZPoTkYDg155NOVM6beW1gH2ou1fkxEoqt9sd3G2vrmktxQpv3nEbmpPz j4efJouMOrvHfinG2y/vX7/iNaZ6eTvs35+3LwfTi1gsdORZCgPhA4crVD2jn07/nphOpSMd iM5KcFpA18OKGd+KONDaVfx8MrxjI8oUvX+PVNIVmOVmVkZyFKAZWi3iWQje3m7meKG/skQk xLBta2aV4B/F/KMJsBuOnoQy8UfIDYVl3usP5Vo+jMgCQHaXWaUCyYl1yUhI7J9/tIXF5Oss ELCY0LCUqzzgODu4PurK1hu/a8CPYSty5o0qaWY9kZn+AsHohFE5M9gNIRwACWwgv6Yec2Q0 tN9BgwyUV12Ah8UdlcxizdJ+3e+7tC0WNe0br1V33EWWRmV5mjZ0+OVm7L5uSVDMMnJzcFEd 60CpwzTsaQ+OlYD1ypjrNHadl6gSQdVApWpQ9Ugo0VKo6zgxrjxvHJdO2BR9SYb0J/nrj7eP J8nr41/vPzT/Wj68fLU9cAVFuQZ+nBesH66JR+/5BhiSjcR3AHlTA3icvHxeo797gypXDYsu D+Q7IGS7xPecNUhBTAPWt8Dk4dSIc8sQRDYCXUXgTcCxAdBuW8DXn96Rmdv7uvc4YdD25GPH V1IW2higVWO8Jh7Zz3+//di94NUxtOL5/bD9ewv/2R4ef//99/8xtGZ8UkBFLkg6agqUZC31 ucQs78wLglFNo6w7sFWDSxxl46aWG+mt7z7rhrfuB3Jnza3XGgcMIl+jO9aRfV6uK95pWqOp 3b1QbPQlloVfb4cIFgZ6CsaorRIZ+hrHF0X0XgLlDYLUKFiz+HgipDeNYzC6DBrMax78fpT8 q1jXtBaqPuJO//9ZU6NoB3yzLoVp7CCxCx29mqwChQy4q1bKGfatT4oAV/lLH7JPD4eHEzxd H9FEZMg33WiryueWHNAOqt6zY7SBhTJK6GOqjUUt0FRUNvRw5ggbCLTYbkdUwphkNUhUVb+b y6ixeEPPe4yZNaTmqGkxxtMAH20fgPnlakCiUs6NIphFh0R43JAEPjDe6cTEO7OOIHlb+S8G 7c7ZYwFMV8vH5SgZj/pqu8zrItFneC37l90hd9FBmKeGlY4kMWAXpSiWARqCtim9Q4NBQvOg Q4IxlmhIkJIkfoPL6c8jm8UhMMBtdX2cmCQwapT5/IQA/X4x7NUdHF8relCdECBKlMz8T/Sv uXVJ1aHu5gr9P/CWIi7u27n/vHy/e3v8t7ViTQ253r4dkIHgMRhh1OCHr1tTFFg1IIZwbtnd ZkQlNkd31D+1QmfYZ1OeyHgMNad5C5dnvTAi7Weo55jQt4ryO0+yAnkKwN2029Y4pOf2FSws NDHjtsNFYd+vJ6u4tt6iauED7ekVLB2mPCJIVYZKs2GOInClV1vPy3o+TeeIzzpmaBYLsgPT rua4rZtmNa9YEFtxHweK1cfo5TlrwKY+LOUmblI+7oHupDb0aI9tnov3dFVUBCJC0DUQUNQ5 /9yNCOhZ4TyMn6k6FZzIQNimUca7YwJtHHMjAfHJ3Byf5LmroERDN+kb4Sa4V5QmTsXCqd+1 ounFtvIXIPTMkdltPLrNtwHH+7kClQoKaGcyi5apKFdOK+aqTEFgkA64iWUi7h1g56ZP915u I9FGKKBTof4PNkKnQBTVVM0VpxwuZROQDzoqy2waApkOy9n2PGd5oyU4paqqcEnHedQAezDP Fy1YzZRmaBVTfG+c/D+UMkcZLXQBAA== --tThc/1wpZn/ma/RB--