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=-7.2 required=3.0 tests=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 D5A54C4360C for ; Tue, 8 Oct 2019 22:19:48 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [209.132.180.67]) by mail.kernel.org (Postfix) with ESMTP id 7D97E20873 for ; Tue, 8 Oct 2019 22:19:48 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1725914AbfJHWTs (ORCPT ); Tue, 8 Oct 2019 18:19:48 -0400 Received: from mga09.intel.com ([134.134.136.24]:15036 "EHLO mga09.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1725848AbfJHWTr (ORCPT ); Tue, 8 Oct 2019 18:19:47 -0400 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga007.fm.intel.com ([10.253.24.52]) by orsmga102.jf.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 08 Oct 2019 15:19:46 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.67,272,1566889200"; d="gz'50?scan'50,208,50";a="193505461" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by fmsmga007.fm.intel.com with ESMTP; 08 Oct 2019 15:19:44 -0700 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1iHxpX-000928-KB; Wed, 09 Oct 2019 06:19:43 +0800 Date: Wed, 9 Oct 2019 06:19:40 +0800 From: kbuild test robot To: Petr Mladek Cc: kbuild-all@01.org, Jiri Kosina , Josh Poimboeuf , Miroslav Benes , Joe Lawrence , Kamalesh Babulal , Nicolai Stange , live-patching@vger.kernel.org, linux-kernel@vger.kernel.org, Petr Mladek Subject: Re: [PATCH v3 5/5] livepatch: Selftests of the API for tracking system state changes Message-ID: <201910090514.2jNhxHDb%lkp@intel.com> References: <20191003090137.6874-6-pmladek@suse.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="ib6vt5qvw7k5gkdh" Content-Disposition: inline In-Reply-To: <20191003090137.6874-6-pmladek@suse.com> X-Patchwork-Hint: ignore User-Agent: NeoMutt/20170113 (1.7.2) Sender: live-patching-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: live-patching@vger.kernel.org --ib6vt5qvw7k5gkdh Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Petr, I love your patch! Yet something to improve: [auto build test ERROR on linus/master] [cannot apply to v5.4-rc2 next-20191008] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system. BTW, we also suggest to use '--base' option to specify the base tree in git format-patch, please see https://stackoverflow.com/a/37406982] url: https://github.com/0day-ci/linux/commits/Petr-Mladek/livepatch-Keep-replaced-patches-until-post_patch-callback-is-called/20191003-171833 config: x86_64-randconfig-e004-201940 (attached as .config) compiler: gcc-7 (Debian 7.4.0-13) 7.4.0 reproduce: # save the attached .config to linux build tree make ARCH=x86_64 If you fix the issue, kindly add following tag Reported-by: kbuild test robot All error/warnings (new ones prefixed by >>): lib/livepatch/test_klp_state.c: In function 'allocate_loglevel_state': >> lib/livepatch/test_klp_state.c:41:25: error: implicit declaration of function 'kzalloc'; did you mean 'kvzalloc'? [-Werror=implicit-function-declaration] loglevel_state->data = kzalloc(sizeof(console_loglevel), GFP_KERNEL); ^~~~~~~ kvzalloc >> lib/livepatch/test_klp_state.c:41:23: warning: assignment makes pointer from integer without a cast [-Wint-conversion] loglevel_state->data = kzalloc(sizeof(console_loglevel), GFP_KERNEL); ^ lib/livepatch/test_klp_state.c: In function 'free_loglevel_state': >> lib/livepatch/test_klp_state.c:85:2: error: implicit declaration of function 'kfree'; did you mean 'kvfree'? [-Werror=implicit-function-declaration] kfree(loglevel_state->data); ^~~~~ kvfree cc1: some warnings being treated as errors -- lib/livepatch/test_klp_state2.c: In function 'allocate_loglevel_state': >> lib/livepatch/test_klp_state2.c:48:25: error: implicit declaration of function 'kzalloc'; did you mean 'kvzalloc'? [-Werror=implicit-function-declaration] loglevel_state->data = kzalloc(sizeof(console_loglevel), GFP_KERNEL); ^~~~~~~ kvzalloc >> lib/livepatch/test_klp_state2.c:48:23: warning: assignment makes pointer from integer without a cast [-Wint-conversion] loglevel_state->data = kzalloc(sizeof(console_loglevel), GFP_KERNEL); ^ lib/livepatch/test_klp_state2.c: In function 'free_loglevel_state': >> lib/livepatch/test_klp_state2.c:114:2: error: implicit declaration of function 'kfree'; did you mean 'kvfree'? [-Werror=implicit-function-declaration] kfree(loglevel_state->data); ^~~~~ kvfree cc1: some warnings being treated as errors vim +41 lib/livepatch/test_klp_state.c 32 33 static int allocate_loglevel_state(void) 34 { 35 struct klp_state *loglevel_state; 36 37 loglevel_state = klp_get_state(&patch, CONSOLE_LOGLEVEL_STATE); 38 if (!loglevel_state) 39 return -EINVAL; 40 > 41 loglevel_state->data = kzalloc(sizeof(console_loglevel), GFP_KERNEL); 42 if (!loglevel_state->data) 43 return -ENOMEM; 44 45 pr_info("%s: allocating space to store console_loglevel\n", 46 __func__); 47 return 0; 48 } 49 50 static void fix_console_loglevel(void) 51 { 52 struct klp_state *loglevel_state; 53 54 loglevel_state = klp_get_state(&patch, CONSOLE_LOGLEVEL_STATE); 55 if (!loglevel_state) 56 return; 57 58 pr_info("%s: fixing console_loglevel\n", __func__); 59 *(int *)loglevel_state->data = console_loglevel; 60 console_loglevel = CONSOLE_LOGLEVEL_MOTORMOUTH; 61 } 62 63 static void restore_console_loglevel(void) 64 { 65 struct klp_state *loglevel_state; 66 67 loglevel_state = klp_get_state(&patch, CONSOLE_LOGLEVEL_STATE); 68 if (!loglevel_state) 69 return; 70 71 pr_info("%s: restoring console_loglevel\n", __func__); 72 console_loglevel = *(int *)loglevel_state->data; 73 } 74 75 static void free_loglevel_state(void) 76 { 77 struct klp_state *loglevel_state; 78 79 loglevel_state = klp_get_state(&patch, CONSOLE_LOGLEVEL_STATE); 80 if (!loglevel_state) 81 return; 82 83 pr_info("%s: freeing space for the stored console_loglevel\n", 84 __func__); > 85 kfree(loglevel_state->data); 86 } 87 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --ib6vt5qvw7k5gkdh Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICLv7nF0AAy5jb25maWcAlFzdc9y2rn/vX7GTvrRzJq3tOG7OveMHSqIkdiVRJam11y8a 196knvojZ22fJv/9BUhKIilqk9vptF4C/AaBH0BQP/7w44q8vjw9XL/c3Vzf339dfdo97vbX L7vb1ce7+93/rjK+arha0YypX4C5unt8/fLrlw9n/dnp6v0vp78cvd3fHK/Wu/3j7n6VPj1+ vPv0CvXvnh5/+PEH+PdHKHz4DE3t/2f16ebm7W+rn7Ldn3fXj6vfdO3jdz+bv4A35U3Oij5N eyb7Ik3Pvw5F8KPfUCEZb85/Ozo9Ohp5K9IUI+nIaSIlTV+xZj01AoUlkT2RdV9wxaME1kAd OiNdENH0NdkmtO8a1jDFSMWuaDYxMvFHf8GF013SsSpTrKY9vVQkqWgvuVATXZWCkgx6zDn8 p1dEYmW9ZIXehPvV8+7l9fO0MNhxT5tNT0QBc6uZOn93gitsx8rrlkE3ikq1untePT69YAsT Qwn9UTGjW2rFU1INK/nmTay4J527bnqGvSSVcvhLsqH9moqGVn1xxdqJ3aUkQDmJk6qrmsQp l1dLNfgS4RQI4/ydUUXXxx3bIQYc4SH65VVkeb2xzls8jVTJaE66SvUll6ohNT1/89Pj0+Pu 5zdTfbmVG9amkcotl+yyr//oaOfIs1uKlVNVOcIuuJR9TWsutj1RiqSlO9ZO0oolka5IB9oh 2AEi0tIQsBdSOd0EpVri4fisnl//fP76/LJ7mCS+oA0VLNWnqxU8cWbikmTJL+IUmuc0VQwH lOdwguV6ztfSJmONPsLxRmpWCKLwWETJaelKOZZkvCas8cskq2NMfcmowMXaLvRNlIAdg6WC c6i4iHMJKqnY6DH2Nc+o31PORUozq3BgphNVtkRIamc+brTbckaTrsilL+67x9vV08dg0yaV zNO15B30CXpTpWXGnR61XLgsGVHkABl1niOhDmUDKhgq074iUvXpNq0i0qH172YmggNZt0c3 tFHyILFPBCdZCh0dZqthQ0n2exflq7nsuxaHPEi9unvY7Z9jgq9Yuu55Q0GynaYa3pdXqOdr LYuTYr8CIRaMZyyN6iVTj2UVjZxeQ8w7d33gfwqsVq8ESdeexIQUI1zBEL2xsaJE+dRbIeKC NFuHqXorKK1bBe02scEP5A2vukYRsXW7tsQD1VIOtYbdSNvuV3X9/PfqBYazuoahPb9cvzyv rm9unl4fX+4eP037s2ECarddT1LdhrdGESJKgX8otWTGamv1KdMSTizZFOHZTGSGmjCloKmh dtzQI5aQiigZpbaSRXfhO+Y/SgFMjkleDVpRr59Iu5WMiDKsdQ+0aYbwAzARSKwj2tLj0HWC IpzTvB2YZlVNR8KhNBRWUNIiTSrmnkek5aThnTo/O50X9hUl+fnx2bRehiaVke2INOneeJrg sui9sgvqL8i4+WvzhyMO61EseeoWG8DmqKaKI+rKweCxXJ2fHLnluCc1uXToxyeTvLNGrQGq 5TRo4/idJ3ddIy1W1QKodduwv/Lmr93tKyD51cfd9cvrfvesi+1kI1RPqcuubQH/yr7patIn BIB76sm95rogjQKi0r13TU3aXlVJn1edLAPWsUGY2vHJB0cFhR1MetCjjPiKNjjlLLKzaSF4 10q3DYBHabHIatZtGktOmOijlDQHq0Ka7IJlyoNZoDucCtETbPtqWRY/4ZYuMh+n+tQcztgV FW7XIEKS+lrDr5PRDdPaPuwKai5qo2G0VOSHWgac4agDkLuRZBDCtIsAhQG4gAqMd1fSdN1y kAo0OwCZYnbD6ldwZ3QfbvMAFmBrMgo2AhBXVCwErYiD15JqjSujsYpwfUL8TWpozUAWx0sS WeAcQUHgE0GJ7wpBgesBaToPfp96ritvwcqAn4pGWq8/FzXIvr+BAZuEP2ILFvgKRluw7PjM 2TTNA6o9pa2GoggSaFCnTWW7htGA7cDhOKvY5tOP0DwEPdVwbBnIqie9sqAKEX5v4V5UOszu foMDZxFhGc50Cce28hbRuFVzhOOpX8cLM+q4qZnrTDviT6scbJrw+/AXLtJNQgDL+0Au7wCt BT9Bbzg9tdzll6xoSJU7Qqwn5RZoqOsWyBJ0oqOcmefhMt53MN0iutYk2zBJh7WOLR00nRAh GHU8nzXybms5L+k9lD+VJoBVYOp4BoyNDjn00uGxRl/Rw1ttflBaUAi1FcljikIbKgwgTdOA 1pp0trnghf0RqQ+1aJa5ZsOcIeizD90WXQjD6Te19hZ92Tk+8iIM2nLbqF2723982j9cP97s VvS/u0eAfARseoqgD2D5hOSi3WrFHe/cIoPv7GZEz7Xpw4BzD/5ghIsAPtBhtunAViSJn+Sq i4UrZMUTR3qhNmyPKOiAB1zJ7vIcwFBLgBpxwQGv5azyUIxWedr6SHcN/IjewHx2mrje7aUO q3q/XWMilehSrVczmoKT7wwEcGsL0FXrd3X+Znf/8ez07ZcPZ2/PTt94sghTtOjzzfX+5i+M 5P56o6O2zzaq29/uPpoSNwS4Bns4IC5nfRQ4gXrGc1pdO+dM910jmhMNGDpmXOXzkw+HGMgl hjejDIMgDA0ttOOxQXOA6i3fGOKQpM9cIzsQPHXsFI5Koteb7Imn6ZxsB0PX51k6bwRUCUsE Bi4yH0aMygKRPHZzGaMRQC4Y2KbaUkc4QCJhWH1bgHSGUTlAdwaJGfdUUGfm2l8aSFrxQFMC Qytl54bRPT59MqJsZjwsoaIxcSmwkZIlVThk2UkMwC2RtUOgl45UfdmBia+cw3vFYR1g/945 uEmHF3XlJYfBqiwY+qCrvAPYy7pdqtrpKKSz5znYfUpEtU0x9ObawbYwnlQF2qyS56Oraa8U JMEtxAOE+0RTo1i0Xm73Tze75+en/erl62fjiTseVzB15zS6w8ap5JSoTlADmF2NicTLE9Ky WOAYiXWrA4NeUJBXWc5kGYXDClCEuTfx+jCCDHBKxHAUctBLBZuPAjXDg0jemDl5jcYG4jHg saz6qpVx/wBZSD31aJ2ayAAZl3lfJw5aGkpCdwXbHGXEBtDB9as638obr4PXIJ85OAajDon0 XW7hiAE4AkRedNSNX8DOEIwwzUv6y8vKs/pDuR5tPBY0sMiWNTq4urBR5QYVV5WAvPabQVoH uhvbgh99uwl/B8IJZRmvj7yt1Xzlpo5vGlDfH58UMXuONInazbp7YavmuOexma0BbATLayLQ bYfRUjiolfIBMgzRgY+bemw9sh2LIb6RY4iv2PLfQWRKjjBqGNSElFPRmNLo+tTrD/HyVsZD wjUi0PgtF0AIHnMvRgPmIujhwIkGEIm1TmH0CXmqY4945tKUDHRwWreXaVkEWAgj6Bu/BGw/ q7taK5qc1KzaOjE9ZNC7A+5cLX3YhvFTdHZpBbLsAExoB86xUSFBZEQTQHHEgw6WXm4L3sSi HJaeArAlnZj3eFUSfuneGZUtNRIkgjIKzi+iB6GcVcu0KzkNh1QFAR3EOMCwmFdFLr0D2Whr LntBGrDnCS0QUx3/+yROB40dpQ74OULzyowalLWa68Z6ySLpa+geTVYgezxSKKjg6O5hPCMR fA1KIOFcYSxdBgKUzowWFGGItKIFSbdL9lHfTBkZCYrxlk2WYKPmJNb8jtL24Ml+SQGzV5NO NQjA8ZUenh7vXp723vWD44lZc9c12qV8WOYQpK0O0VO8MaCu07IwCnf4x2czD4bKFkBReHaH Ozgrvt5lKvvg+XM1S+GAgjpZWnz3LFuYwTKYmreN7zXuWmgiYwLWuy8SBIEybI0gLlNMKpY6 NAweexoZMASWLXQBOJKkLRuqDY3AtCReuzY9x603BX4nuESzGkaljgF/g0o1SAO4YSPYIWgd yTPH1tC18hvgCl4bO+LMKjwA1YBQ8La1o+dHX25317dHzj8B4MPYK/hbXGKEQ3Q6DLiwQObO Gu8jLhylXSvhBfXwN2JlpsDbEYuADty8pfAL6CzAGuEpl+AjLgzMHqiazaCnoYBx+gb2tEtq gT06P2u6jaNRmrNouaQpeq/xPJ6r/vjoaIl08n6R9M6v5TV35JiZq3MsGFEOvaReNEkXoJ9J 47ZQEFn2WVfHFrgtt5KhKocjBhj26MtxKEfg+WKcBQX6UH3woosG6p+Y6sPQuWqrrvAxCup+ hFy1S3bmayBcnGZDCJtMelFNYx1CrRYbcMh5yZtqe6ip8KZ7Wtc6034/TCem1+AAs3zbV5nq Z/kO2vmv2Ia2eLU2lbtFk9o/4H7Oog0ky/pAiWqa0UjDSbBrO/EgxjXBWKPyNHpkWbwR2Vbg MbXosyn3QrJ9+me3X4F9uv60e9g9vuihotJdPX3GDETHW7ZRBsdZtmGH6RYsIMg1a3Ws1llF G82goyvkov66lxWl7bzE932gFK+d5rwXZE21BxYvtQl/x+5R8ehFNAvMU3xtPXcFJ1JaOa7I xR+g+i9A8dM8ZynDeOzMiqA/UMwshx8wwe1waLNfg/jr8w6T5HzdhdGXmhWlsmllWKV1w2q6 BARegZ0zI9Y4RjoRSceJaq3rXkSdbtNWmwoznHCkrQt1DK/dRb8H9C9yaUaz1Iugm55vqBAs o27sy28J1GwkAcvlIOFSJESBvd6GpZ1SLuTShTlpZj0qEndwzNKBoC0NRLtggoLYSBn0M/lb I8aMk1k2W/SRGJT7in6+/qZBUhQC5AuQ9dKwLf4OWvdB26TszAqhTuraQpAsHG1Ii0je8uq2 KQoUjwIZvcIcfEcwAEtLwbj1hPxmZRJHHqbuQoaB6bCTitegw1XJD7AJmnWYX1gSkV0QQXu0 cAe6rKNYbTrepKWOkvDL7Z2p3yISov1lrcrnx9BRhwwvv0FCApQaLIP+O3oENfSsRzd9Qm8+ qhvSy1b5fvef193jzdfV8831vefSDefHDw3oE1XwDabjYrhCLZDnOYEjGY/cYsxCcwx5MNiQ kyXw/6iES4whuO+vgvemOonj+6vwJqMwsGieTowfaDYr1r/SjTLr8EOnWAxZeSu9lEbh8cTW I8Y4rsLCtg5TXtz1b8xwcWajRH4MJXJ1u7/7r3ftO/k17RQicA9AqmOC2OFywN2aiINMALxo BobchMkEa/iyv3dqYqe1r5j0tJ7/ut7vbh0M6GY4Ro7guBbs9n7nH0jfIA0lelkrQL5ULBBr 2nQLJEX5AsUJNk9Omy0bItJLiZtm7KPzrneLDUkqA67/JlzWK5G8Pg8Fq5/AJq12Lze//OzE nsBMmfiJA1ShrK7ND7/UuxswLBipPT4qfb60SU6OYCH+6Jh/u483tEkXU7727hbjfzPvfivz JLpWC7MzM797vN5/XdGH1/vrwH9g5N2JF7ry79LencROunEd3btJUzTzLjFO2WHACH1akB3l btt8VHqw+d3+4R8Q9FU2ntcpqJDFlGTORK3tMzhlNfFga1YzFrfwQDE5U7H3KUjDd1Y1SUv0 TMF1xYAGbLBxj6aJ5hd9mtvsqykI6ZYO7u1Up+C8qOg4bHe8liTruN23ZIyI6rjvLJgQcmJS J+hSDn/qYPNS7BcnN9z2Dl6o2n3aX68+Dtth1KerdRYYBvJsIz3ks944V6J4Z9Thy7OZFG7w jVDf0BiyMrQNplROS68L3Zip4TJPgPBBDD6fmy2D9zoNE0juXnY3GBl4e7v7DPNBrTLzvU08 yGY82TITQvLLBhxrLgZsITc5NtQd6lBm84R0MmBb0cslVDm2MWsV4eQcva3NJX9UYH7v6hZ0 fxINLeveJoe5a/SBxkTTFB2SwKPAGAg+oVOs6RN5QcKncgxWBzNZInkc6zANwZTiRXyMwNt4 uW0GYEafx3I1864x4UvwU9E90/cXXuhes3l5jNPrL91iCQ59QESdjb4MKzreRd7dSFhhbRTN g6WIHwb6UmGsy6bVzhkAKNvQ0wLRXgDUs0U3IzdPM03CVX9RMjCnbHZJjKkpss+2DUE/QunM U10jbFLWGCOxbyjDPQDvAxxLDDhhLoiVFGvTPD7p+gb+9uB70MWKXlhHl5QXfQITNEnSAa1m lyCvE1nqAQZMCFsx66MTDeh82AovPTNMUYzIB7qKCN904rdJftE1Yo1E+h+yDYVdNIw1x/Zx OqyHqW7mp7fmaWddegwTzkTJiL55VWGvrMO1N6Xm9nKBlvFuIe3JogPWpr15pze8zo3w8ipz +GPTtTcKNj8syoGLWcHOB8RZltKg2G0mk0fW8WvPF/bIi56/nglTgCPspuoMmXDn08WHaZr8 zZdXRrF+8/lVzVHK6jDvdlBrDV6toYbHhDSMfn8vX9920TaRjqmzYeRTb60mYvRblkREu5I8 1ypNbWfzyIa7QJrCMXUEA0gdRlzRCmG6OR6ByDrRS6bQPugnrMrDdKNC1dX1LZuXkTiNz0vs DBh0B1FN79eackUj7TqJnkuNuCyRpixZs2My+Fzw2u1gF1QVUo3E2hepcwMJa8vMTcaYMOtg EXxDzwp77/Bu5hxYOgksr84d1mI8q/HuZE6aZopiFm5lrGyyl+CKgxm0T9XFhZOWeoAUVjfy Fq0eI43VBWYsd66dGkqCpw7TDFtYb3DX7EWib3NH5AXwIAav0Cq5+edhVZvMDxA5Fdt2fDta pHzz9s/r593t6m+T7v55//Txzob4JncD2OxqHXotoNkGiEpsRGDIJD/Q0+hQA4zGp+WA6NP0 /M2nf/3L/zwDfk7D8Ljwyyu0s0pXn+9fP909PvuzGDjx2bWWugqPccxjcnjxgrTB13ZKwGHy 3LmJCfWIQVFR990bUZhc/w2HZJQfdBnAirhnXL//kPh2YfqIiNWQ7kCtpOo3zyAqC3cllqtr DnEMcPBQC1Kk45c3Ft6fDJwsfrFgybhFgsroAxvDgZnQF4D+pESbOT6x61mt7/GmleoaOD2g kbZ1wl09ONgT/XR3vMab3tFUC3dHsjl2GzcfYNHpqHoBZxppullUHHG3qJ1PP+h9NZVhzfiF d1kiLiQc3AWiPvcLtFFn6M9mZFOu7MSyTAkri4t41Vn5pECHB0N9QnP8HyJf/ysPDq9JIrgQ pG3dOUz33Pok0y+7m9eX6z/vd/o7Pyud5/XiOO0Ja/JaoWmfmZcYCX6ET5r0iBGZT+9sASfY J82x12umWZkK1nq3tpYAshm74cZuLP4fFcLS7PTU693D0/7rqp7ioPNsgUOZUVNaVU2ajsQo U5F+LDEEKMJkLwPRhlwhKqlr5Zzkrks4U64tn0gbE8qb5X/NOOad6gNp8i7mdP3cvXAv4u0w 3Uf/k5LxkjxiL65MAodO3jDpoKeeTAXQJvK9lVTHC/rgvQYmA2EGiuhV+JbKJGBzDB17oR0Z y2weBFSvpfmGRybOT4/+feYdsO/I8PcpUZUc8wuWwIAJMagSwJkXH0rBS2t0PrVT5l5Zw4/w jcJY5OaqYyE+A5Lnv00jvGrjGUZXifZeJj5pHvsdyBXXwdIhkuXWhSWnQtAxyKK9I3wwHV0z HQ7SLIPjdwg+tfpt1Sbo0aYbLX8XA+QdNGyTljURUVPltq8dKuIhs2XFMmmDeewfyvAzZSA5 Uvp5VHKdmPcxQ9hIq69m9/LP0/5vvKlzb7iGScLqRIPAYFkddI2/QNN6yUG6LGMkDiRUtfCa Jhe1NkhRKkwOUx9jlzdmLaYdbo2axG/sxEWgxdfCeO0KthKzu2OhBGBqG/djTPp3n5VpG3SG xTovcKkzZBBExOk4L9YufEbMEAu0frTuYlFpw9Grrmn8ZwZg6kEu+JotRJ9NxY2KX3sgNefd IdrUbbwD3JaexN9WaRrAwmUia8OcVZc6TtctRIELilTaDsV+813WLguo5hDk4hscSIV9Aa3D 4zkq2Dv8WYzSFpnOyJN2iRtTGezIQD9/c/P6593NG7/1OnsfwPVR6jZnvphuzqysIz7IF0QV mMwXHDBhvc8WXA6c/dmhrT07uLdnkc31x1Cz9myZGsisS/o/zp5kuZFcx19xvMOL7kNPa7Fs +dAHKpMpsZSbk6nFfcnwlF3zHOMtbPe8nr8fAsyFYIJSxRxcpQTAfQNAANSqHrXawJqriut7 ROexYQaReanvSjlKbWfaiap2DJm1OjxBiL0fxmu5vmrSw7nykMwcK9xJafoW4kaCehbOHbct HcqwOajNMUdXVoZCKRhiq9llsavyBNLsCXEUBXdCHQV2ySoQfqb2IhIO5lQ1792Xzmpu19B1 OVxYrs1ePHxl+DE0r1Ixy0VZJT2sey28rgUQd1uairxZTmbTW+eytIc1633lnC8OIiOIWEZw wDlVtJDw0ZWmzkZiPmZudUUtUo4lOc4WQy1TUa4cB59N4dXgykj4peAN3ZSUEtqx4OJQQr27 6EXIbNz+9fjXo+FAfm+DPnlarpa+iVZcTIsOu6kdR+4emOjIHyeNKj1VnMgLF/Qtl7BiN/AO qxOnxwbgrdttHbiWt/wS7wlWXHyjoTM0Vz+zak8kqgU0fFxFw1zEXB1j7fOuIxLzv+RkoD6L qhqXl91iPZj6Gyb1zNhEm2IruaS3yanpEaHUzbQxubW4k62MxJbftodcTqI3m1PDUirJ1cxs zQElW5+QOEH0Xd4b1rviEXIS4ZZ2FJrtxQ5rtv2kQHF+zKW0xf/xj/cfTz/emh/3n1//aI3h nu8/P59+PH3vAjk7FY5cpV8LAPWpywd14DpSeSyPfl8BCvfB0GYDBMnBnzMA3c15n+U+W73n ThIXfcVVJzF748mMbSyykyTmjD2JhzJOyElAkoEvTkjVi+w3UpxooXDND5CZB+G6SBUJ0tnC 4VLJ7Y01ElcF52XfpckUiO3jvLSAWwB/zACTs/befd1kTPm/PkMV4DZ7gu0K0p6kifSOZzn6 5pQBSagjgCP+RPUhatnLqC+2q6xg+kglzCBY5hHEZL8XDDlmxasjHIrxIdEiugVICq2jTrUw 3opgu3B2isg5ouMcLuN0AcHACe9luDoBKrM9249FKfO9Pih+2qJVmnTvFzrISAQEjZ4qejyX GaXojOLdjkFVC5U5YQbQjgBIs6YOfwiDTYvXPUGyXJM4jhsdXuu2P2LJdxlQpHOIVg2S3ymq PNKcWFWVTouqBCPFEl91F99GWYTs2kN+jIhSobXyZnQFsUb1XUMDZKxuiUYD4qd9U6ENALbE 1rGNqrcuvh4/vxi2stzWaxlaj3FVGOm6yJW1UukVc6M8PYSrS3PGT2SViBVvgx4F+OgVvx2J xPRWFZKKkmYbcSzZQVUyJXaDHYQu3gNYxFBbSgTRcLItSDkhNKJkDUz/lGw8KYLwlYDMc8If mt8mhMkp0wKiQcETCWZtsMFDO+pIgt2espfyTZFT3XxPVkmwAsdLTTCerOQ65k4kh958yDTd paJqNopc2hMiDKoFYXxVxVD0PBNfq7Aj3tC+Khac32FPAGPA39OKCCm4C9oWBZprUD9vMMov Bv9yXEEPykB5KT3ZKjaOJSyZm5Ku6Zuy3UVHYDDkf/Fg/g2DUAn94iggsZk27hGC4J3mo/hF stw0/MMDeeIynUlkdva1MqIy4fAMOI+4XRIwm0j5xHoTp2ShtvvS/cdF8vT4DBELX17+em2Z 44tfTJpfLx4e/+fpuxueC3Kqq+T65noinH4z0Ewq0OhQILwOQABlvri8ZECQ3K+xQcznjZqx 6iUoEQJqoIHVCwtu83SrU98sNgmW02+VP9X+XvvQs4OUKXFXBac363gNMEWn11vmMMJF7p3V ZibRV16smV1RuEFQhUoLy7X0eztYnrVnU3f0xNgGx5+CECvtXK+1X31T4NtwiivYXzOeQ0AS 8HTh01rLfsNhFPwGgVRolhHScpm8nV7wPtrXJsjOZsASdirPu8bFNxnLXwAGHXX8/MLu5eDb Wu8cbQvG+4oUxE1OqiKviXc+kAsS3NQA4PYYDz8L84tWxT5QsBkUmlMpCDODmbdWwsPx33oj lNHYlRNg399evz7eniHg+eAxZ9mV+4dHCJljqB4dMnjf4P397eOLeKSdo21n5ufTf70ewEkE io7ezA89zuwkWe8Fxte9b5d8fXh/e3r9og5fZnQ8a3EX2rvI+mMizQobP0fk1KQvrS//899P X9//xXevO5kOLRNdy8jdp05n4dYuEuz9QiVKFbviVAto8MoB1PDwcsDcDVjSErTRKgxbXB8b NBQIZ49OEDJfE4enHkcPzSH/XdZqWl7GpcO1NccYd3i042oie/La9xru358eDH+rbXc9jP3I urS1VovrAHfRFV/q5sjddbp5XC3H3QoJDUs/G2OqI2Lm7vAG6jz4JT19bzfwi8K36tlZs86N TIllFAFDIKGNE6fddFedlXRidzAjauxyTrIxjFoei7Rwx7asbDG9Ex4+ntUdPb0P2POb2RA+ hjonBzQzJJZcHQiPuhjecnAOpmNdicFlbmjIkAr9JvpO6FvFEvSefEwrhwSddaErc/kt6qUQ gZFE9tRuq5OE0AjRxQZUnxCvJzaiDHuT0qLlvnKtKSwUNqM2pZEGwMx/oECcQGu7lsI+OTVc QQ0BEDGGS+BFKkDvdymErF2pVNXKrYYRQ4i5lf0G5m0E064rTw/LHFatBWaZy693ObqvWcFu g94DOF0SdzoBKpF5JPto/dSudrygei/hgekl7rU9Lziw8IXh8wLeH+vcFXDhqzHzT7l2dQjM 4P0SDqFVlfCY3erYIYaLw9o5+M0HjrrutsTy/uPrCdna9/uPT3LoAK2orsETx2VMANwFZmJQ psfRA/UEyrqigdUYmuT98ds0mAF6FKJRuySGWGNCYOvHYTi6M3LUSmz8zvy8yN7gERcbmr3+ uH/9tE7HF+n9/3qHAxRaFCVrU1zHWA8Fcj4YQKImq9vsKpH9XhXZ78nz/ac5pf/19D4+4rFb E0XGrfkmYxl5iw7ga2AlWzCpnskB9JJoHuGZWjtU1uUj3zb4FEszpZl72NlJ7KU3MUz5asrA ZlxN0WvfUxD4jcmMZBTTXgG4OXHEuBgI+uDNOZHRxBWNjIeTfAWGqOzEOTFy1rT2/v3dCSEB dreW6v47RBTzhte6DUAXglGD9usBxp18kD6sZRZfXx2h+qQ9KtqMgVKvZkxDo+1ycgnUgSJ0 tJo1SSqoWhcwRvD8enzmFTkGnV5eTtYcL4TNirxZbYM17MFxrhr1QSrgBRl2MM51tn2z6fH5 x2/ACN8/vT4+XJg82+2ZX3JlFi0WU1o/C4PY9wmaENIKWmRI7AMSeL7H9uILC24OlarRt1El d37+A1XBmojgGow25Wy+nS3IzR6OoK5nCzZWHiBTWA1keZSb0QIxfz4ZBBKsixpiGIISzjUT brHm5NdtfP7pbNnKcE+f//1b8fpbBEMUUjVgk4toPR8qscK78NywJtkf08sxtP7jcpgT54fb LSkX6BdXSb/fzKad84F2+mQyikAG24gM9B1+BgxJo9nYvnZXOmAK2vNuHiuMUNhKLf/+3Rxb 90aue77AWv6wu9EgPNP+xHxiCb74TAEW0a7KcRsikXBmRT0+O1JprEesS9Yoosf38e5bziN7 +vxO662z0QVWnxr+ISrDHmMY0GLDtVPpbZHjU6VcdQe0PUlPWT+eShSjHDA5XcJqVeOaDy1M CMBmpwN2TVqabC/+af+fGQk/u3ixptaMyIr7Lybg9szzWY0qMt6UWzA69Vyi4Z7h3jjmAgiB bb3diRiY+RcXYbd9wuMTMFXheahh8pCa7Vactg4w+JwA+EK4YTQ4Exc/4KL1PadPu4QATUkf HWqhlgXnVYx9Qrx55vR3A4Xe4SOn42LFcbm8vrniyjbbL2dk0qHzoq10B3eNx9FyHKVGxza/ e6Dj6+3727Ork8rLNrilvS7YZ5JT0RF4v/DH1weGBdNmUjWp0vN0P5m5vtHxYrY4NnFZ0NiW AzhwFeBSkOloBO3szn9oVK0yiFzBD9vGSPEFj6tVkuGhwtRARfpmPtOXE4cnNqJnWmh4pgRC mamIOEgZMTZ1VHGijPXNcjITKZnISqezm8lkzls2InLGBT7uOrk2JIvFxFmfLWK1mV5fO8GA OzjW42ZydC4UsuhqvpgRg089vVpycaHM4q1NO83ZVs4HXXZXBOE2iJIVJFUS5RyenjISbpxI 9mQFfaWRBQnPVu5LkSvWj26Ga/qFfpu5YSokqmY2xQ6yzoOyBK55UGd3Q4nwRtQz8uz6AF7w VxsWP4425FNk4ni1vD6Zyc08Ol4xrevRx+Pl1dDIFmxkt2Z5sykl7awWK+V0Ql9PGxwNaU84 Go/V9XQyWgZtvKi/7z8v1Ovn18dfL/gMWhuw7gvEbcjn4tlwbxcPZmN4eoef7vlWg7DH1uX/ kS+321BVlACjcYyH7z4e0EU5VwzI/HHQ+ki4zL1Vgu4z5nZFvYJwlZlZ+s+Lj8fn+y/ThmGu eSSgcIq7kFu0VHywq1ft6EgllLqvDKD8GHOI3xdlIInBsCmGim3ePr+GhB4yuv948JBYvyD9 23sflFt/mR5xvcx+iQqd/eoIE33d/Y6xMb6q7lXc7hn3E/3t6DYPt1QVar6HN5RsgKhKRnDP ejf40MtoUxAuBTYlkUYQ74e9lO93rZb/ccxxViIXjeDfrianaL8pYxCTuH9uXYO1VCsPjTYv QDbWam8Qp5gEvfp7R0Px2G9rm7G2ct+gW7e4tFivvcthO85Syovp/Oby4pfk6ePxYP5+HVcw UZUE+x+nyBbSFJ4ZQ4/wAsIxBIXmdYQn6+SMp4jMaisg3j+qzAPGz/aJLVcBqhzmFi3MPO/x VZHH/EU6cisO/3CLEfHc232VrIhFE9g8SsGqeUQE9p1khhpQLYJ+TmnA8Gt/DGHgWiAQGXfN 6zREpCW1po5scEKvVS20C0HGdz21zkMbOownWkAYjjSll0B5vWqHi7/sA3Vu4Mn5HXf5aKDN HocX4wrSFuxlzXujtXacOevImqdWJB6oNcaB5Yo3wkwuadg2qMx05jKgHXCyGAMrcXCLaqER q5XskEV2M/n7b8KaE0zAorArURl25BSByWU28fhZezIJc4AMZz0jG6OZVc2GaUGUxoj2ZtMc 2WYh5i5n+UbAb7TDCiCktyLrlF9fH0//+RccLe3VrXCCtZDKdsYMP5mk3wcgkjsZ7Sweu6zs DTdtzp55FJBeHBoRi7KWvMmmS7aWrKzjkqQiAn1HRBTJOlXm4A4bn/eJa8lPbsua1dqzsurS ZeJPGqaBIENeUR2B2VXzWrlB8G8xIsMLR1xFfBVgSAqi2Bd1yolEBuxoneGLzEEAsBJteuQL 3hluxK07fjf5armcTAJdsqoKEf/EtDB0kQiYxTpkQJOzr0oSor3aOeJevdnlcKFuJLTGfQ3d he8dfwMXvlof+QTVmgg1tsymZI+eVN3uqPWLW9uNTDUxELeApp6SDaOHNlPeVbWn4CX2Hn15 Br0P+Wh1FVZV5QYYjfTy5u+J/808PUry0JHTZJmrkX9iRwlBSXPOpTQ6Gj5YUG/Q0DnqZBif 33zg3jnkG9KSQNBq1wNkJWdkl7TfzebgvR/QwleBRyJ7ND+GLToFHTJ369/i9fZuIw5btufl n6it5lA2anNgHDYhB7AOvxMHqdh81XK2OPJbyuhFSDllH9OS9Ckt/CR7mYWY/g5EIVHsG6cG unc2BHVcExYXvlmF2yUtHL7Bq4ctwdnEv2X8oZKJai9dfjLbt6dsd6ht3WCY8NVbsw0HH0CB K9aK1Zpv74geDb5PPJ3i1s5UTeQFb6jm0qmoOuE/6lAVMAV/ilDLjLUxd8juKiLQwvd0suZP kkSKNA+FDmkzzEUNpZJlYEFcOr2cL2ehw8/8BNU6L8BQuqrIi+zMuZbTSqnmuIYoU7nhlTIb ApBn7YcclvObiTsDZ1tfH+AWtzdnFrfxOjTF1lny8KBNxJ5xNn5Oa5lJQnVhjPsBcCfBVi1R RBRxM5K5hpCop2t1mxZr13H2NhXz49HRK9+mUU5vGC3EX8Q+GrdzvmwwvLZ5dkmoMZH5PMvd gMwNl5OnW1e573RVV5PLSaCzKgnM7JmDrIIdQ4yc6Dss+PxxJ41Do0Wmd26sXw3bJswGdi5o 6UbcdhFFKqokFa4uRieEL9DgX1HzkVgQF8WgbeKGqEe36iJSBhhkRq7aaYBR0za3uioVboro ZjaZTwP9yO/JLkHmvtYsSxVNKU8NBDfTKbd5IepyNgn0agTqBd8rtcPWuM06zagzsyRx8Eiw aYRqmSZo2McPgCXq+L6TNFE41FJXM1bz4RLc5UWp71xb1EPUHNO1KYDwhD30Z4qt5WbHxtRx aciOWcMLPPqA4WQ063ZTe7owJ6v9uQ32oP4kfKX9bg6LqcsP9dA5nTQtfAWvSKM9JNt8h0rl Y7oxlcjvmFKwTqDTONfH9oaNKSKJY/f+VCbuno2fnlGu3ibE8MKwFSeK1ytgEjnVoHUP2BNv fgSuXEHHQqIMYrrZSUYQql4Jd19BqC+LIhCsWLzUcD1EIWZRgzOZ8hO3Qqhzm7m583y1AOC4 mOsDOMa5LmIybupKwXONQDzSeZlSLwAesmnTtNdFrHI/nw6VocUh0VW0OpBQCmt1sKLOfKJe TuZHCjMjcW1O9RFwec0ArYrW65hOOdFWsYVGKhKx8KvdyqGBWsdmmLuMhhlbAnM483MCcB0t p9NQXpDsckkrhcCraz+vBN+V8PIZ5JKoTM1y5Yux13nHg7ijtU61Mtv/dDKdRrQK6bGmgFZs ock7oOHBPWoUD/wG9OJAoJYDvp56BXXygef2iV7QIqWF50eTwTdhzs8jRdz2OTiW/sg2+UBk k2hZwB11dXfMHMzKpYl1bcTTI1kzoGQ0U1JFoeHZK3PSwnO+btatbcLaLNBZBf/S7oB4F3p5 c7OgT6qXaUDaKks2PlhKrdngu3dGCTxsiTQQJYk/YRANbu/462q04cCt7m+fTw+PF+Cu3N6H IdXj48PjAxrhAqYLOSAe7t+/Hj/Gt3mHlD6+2nv2HwJB1SDBoJrOPHaZJ6u5kBuUIiNP99JP 64WZUb2Hm5zTmTJknQ5t2FlVxV+CuKlw2f8UVaXVecJ2uZ+paiaNJGn61uFYHGwl6PlFcHYx BpBahfowEO7UJWHZPJfgz7tYaL5kPMNknpN1dlvnSctm8qIeRk8+KOYVU/mKYbUPTxBu4Jdx AI1fL77eDPXjxde/OqrRqXygU9/UFrudaSS44jtCuPnCKznXLKCFNaHLRCTAGRhGJ3ykFsR5 Ww92wvE/ZovfIdyeuwM8PH1C1zyQcLyRmk0mRgDgBlDkR7LYDEtcF2SdJKIK3LqZmjnKCPgC y4PhYROoHN6IEYOx2QL827iddJUTAwL4tkH1wLGJSYBKBLwoHry33ZIGNHgPypzfjPfZ0VDx GuRk903VetewDu82bxo0AcLJjBz9lY7JXINvuL/lee8M0KPRVq/vf30F7UZUXu4csQc/gW/V PixJIDo4jediMXAhD365HtgGcd+Cu6CrwkVcJgxbfNx6/jG9G9czPO359GpOnh/3nYceTV/A Kw6S85i3BN+KO1slL6Hcn0ol96DrfXH7LeTqYBNs5d2qEBVRQHUwc8zxFyAOQblY0KvwANFy +TNEN0zDBpJ6u+LreWuY0MWZWgDN9Vma2fTqDE3cRrCqrpa8IWRPmW5NfU+T+E4KPAXOzwA7 1RPWkbi6nPIBgF2i5eX0zFDYqX2mbdlyPuP3DUIzP0Nj9szr+eLmDFHEc2QDQVlNZ9PTNLk8 1AH9ek8DodLADupMca0a8wxRXRyEEZnOUO3ys5OkzmZNXeyijRfInaE8pJeT+ZkJfKzPlgji UhO4/Bw6vd7iA+7BvQi3OEeqg8+m1DMG1IiUBn0aMKu70As+HQWo8M3/rIQyUJlzXJQgRfHF 9Ggjm4TisQzU0d3oNR+uYiqB5285tfpAhO8peKE9BqxMgXuMNqdwtsaBZklg4tlBcqqAk4sG gRywCTydCOWcae0+w9+nByGjajJE9K7jXqaiLFOJdTtR8irKFjfXnIuJxUd3ohTjvKHvAl4a lmCvj8ejcCJHWbCnj7P176eOVc15RQ3oUICt/sCH+PG8VGlJMFp64HUGSwC9pY14z4boa5el ohGeLXS5LLPl1eTYFHnovQggE/H19PI4ZocsPNCjhIQ4vljMKhNT1/ujZWXmx0mz2tW1a/TU NkFnRkJaVQLiDPq4aDq/Xs6b8lC1iT2uLsvMGbiY+GAzTbzHEQC6LmfCLwGP5JWUJIiJg4ol BA2uxn2MWKz3iSEUdSp0s6oDD5N1RAqjZ9QB45CetzMsbN5SBgdme6y/3fiNRGDLeDTtW1de 9iVE0zXMQiA8P9LcSeFbyHgUUTadcGyfxVZyDU++g9UILiJm5h3LmZm2JXt72a4Keyw6U+KF J8Cx8ZE7K2B40DJKFpOruZln2W5cKYNdLthdyZkJVVGL6g78r3C6jDKJxc1kMTuzIIHoam6J /Nl4MAzYFFb0eOxEfEznlzyT142LmPN3IBYPEqZhJLzwYV4mKpZmXf0fZd/W3LitrPt+foUr D6eSqpUd8U495IEiKYkxb0NQsjwvKsdWZlTLl9m256zM/vUHDfCCBhpy9kMyVncDxB0NoPtr cPXmf60SMmKMrEa3d2H12Q57tNkYIBAGo8CFgkvJiJIc5Lqq8A17d0Gk1y/BwmAwglIpaGqC sl54mgyniP2t0ehuNvj86PKOY1BcneItDIpvVGUdoOOJvDy9e30QmEDFb80VnKKRwyMqJeGG qkmIn8ciXviuTuT/x75skpz2sZtGzkKn82O2drIb6CnoddRtiWCXxQppk5KqXU9J4mCqeyk3 zoP7Fr1svB2EzvqkZykPZmSGO9lSSuSMKh/aY8pkpB1rxs+9RCaTQOmT6fJq5yyu6UPPJLSu 4oUmMlh3U0Nh9kci7lvkFcbXu9e7e7hPNxxm+x691uxtMbCW8bHtb5G6Kh0PBdnSPUkJUa0l rFenGFkIo5PeQHu9TcskI++tquaQyIvtEitynCweJbDFOlz+WfevkWkByRrZxw1patV8blQk qYKpFpHy3nW+WjtumHLTJnCihkAmOpXJ+/H5NXtXlhaXg1IA6gGOFsCIKZeZ+R6FUOS/ryVh QDR5Pd89Ek+9sp9EwLkUWchIRuwGC5LIP8BPUwJTaQQKouWkcziahyNrDX1KaQCqUDo58VCF UKP3oa8iGACFkR+Szlaeiu+OFWnmqUrV3XEncKl8ittBZPQqn0TID4n4dBkJE4FqdyOfs8k8 MjryAipL78YxaVGkCPEzvKXnqmJC2qtfnn8FGs9EjCNxe286A8rEVXLwkPkKoh8MOjRVWfQ5 UdORNY4Ce10myal7HE0CQ30rRGWI6d//gwx8OTBZmtaHFu89guyEBYsOB337UXm60mIX1Axu sNiwRf7RJxuotFE9jW+dTBa54+q2TRgjGmZIsLO+CEuxYn0IDyGNIiDz6VKjAWH35r0oIyjr vdi1rpGA0+Zu91yNu2YlH+SiefSEglXU6zI/DM2nV0CT+Hgcwhry2fGC3xX4TW3x1VOkfVfK Owq9W8RL0M6cngLrEVLxPULfRzkJoHvrnlpYBUPdf8rWHBNtq71hbPcpnBysb56gJZrtMmv4 bVVwfbTOSkv0yWo1WGfJd+k1ACrOGBE3Irq5ik42kQSwLNfaYKMjuNL7gGAkVUaR90WCrM0U BlSSrFy9N5DGRmW8bcFXjWZWN4nFu3XbklbevP026TZPr2Wd597qU/5fW2mEgmnr3UA1xdDV zkjkq9Ngw0Cy+IQo6lxVF1Ruvds3PfY2BXZNBqIGzvglJD5+w5IGgPV/4BRpR23dwNnzBgKw pcOtWR/We97n1vWJlhk4GNvB4KIzJh9wqcCjRDHs9jBJqffgoixvR3yhEdva0NYnvXkY890O cN7bnaJRqxzAs5zQb+WTIt9rzBdYBFiRAlIS77uGK3Ub5KEPVPF2wDukwWQZixddIAB1y4Xp 107OrXaH8aWz+v74fv72ePqb1xWKKDDeqHJCIu0Sd6SWfep7i9BktGmyDHzHxvjbZPCKm8Sq PKRtmakddLHYuCkGOGDQ1i3NIe/Wn+Z+Sh6/vLye378+veEmSMpNsyqMxgZym1IefTNX3qSP x0T8jem709ESkDs03JA2veLl5PSvgM5xCWNcfrRwAi/AbSmIoUcQDzqxyqIgxANN0o7Mj2PX 4MQODsUykI9Va7lmhQXMOGGrTGZ5vJDMiprJwGqL4oCO/WIxXDddmlMXDoIrfHD42N7pNWAF C4Il/Vg98EOPvOiTzGV4wO0qNzdMaLvJ1xxWAMr7XWSXVgTeDCwqP97eT09XfwJ88YCn+fMT HyOPP65OT3+eHsC277dB6ld+hACgzV/waEnB4Nyc21kOYWwE2g3exzSm6YWqCUjPfK1x1Qws PgOa2Cq55Uf1gjKEA8m8yveu3vVWOwGx0BpP1upIShMSrU72bdWTyFXAlAak43qS/823kWeu eXLWb3IG3w2WleTMHRHqnggi14I3W43VJ/DivJ/QGJv3r3JNHD6mjAttPR9WVbybyPfrMeD1 E16zyPUJjXkUJ0NQqK4XxAGj6kLHA36djkNFiMAC+4GI8S6tVMqoh4feSlIIHsdpAxI00efZ jcJXjjc6PqIWG0FALI7o0ipNuTDiy0F19wZjJZ0XfMMeCVLJsyDOKTkU4t8hWAPCcDQ8KQRx 14PqX95i2QEQQK/NOC/RERs4NxaApIEp3EvQB8ByHE53RpMNBzKUfVlFi2NZklbVnN1ApIv6 FufTHhJX9Y6eaSZW5WhwjqksdWK+2i9cvTisWBeWU4TozQNpQgCsA7gh6o1n9dsB5ufb+lPV Hjef5HlhGiMjqOMwWNDeIcrYFrQyKNqzaVqwdBxB+hRWX+ahe1joZRTTl8xNvZdFwCr8B1Jg 5aMKKzTs25n8eAYcOLUikAWotWRTt60JaAY4EfePL/f/1lWpwRBYeqpcgb1hbQtXrlgE3z08 COR5vpSLXN/+S8V8MT82neSLGq4JlKN9UYMCrv6Gv2bCGI3BYMjFbM5wrr4kWcBRRm6Vtq7H FjGVkh2cYEG/ao4i1PZrCPHjcdfd7oucvhmd8uLnQJtR2ZRVUtdNXdrCIU9ieZZ0fJOmnxpG Kb6C7fPuo09u8qqoiw8/WaT5hzJlflOw1a6jjd2mZt/VXcFyYcV0qefgJKmojlPdmR+VcYDH 0sRQ/dBhJUV+WQNBBFiGyDFDLMvAcVWJ44AMqyUquk94iZQjU1+uRQ7slpGhBwVzGOrTaVQi Gj/dffvGtVahuxHqsCxYlbVUk0lDkhsZUB4ngWcH+tVPKcpl31ohWViOJoJZ3vLdzNKdQqBa xSGLlIOBpOb1Z8eNjDKzoqF2A2kQc4iDwGhv6w4yNttxPaA5jWdpe6PLdZSvZr8OXHjz1LpF zX0dOXF8wOPlWPQxUa9LbciZnuaGjQVuihpQ9i4IMCdMfc1cd1yqL9VnOlYJ6unvb3x7MOs5 GGYbtRJGuaTpx8x2D0aXDXSYVvYqiTsT70KjSNOZCwJ9W6Ru7CzIViHqLKfkOvsHbeFqS80x 6YrPTZ1oo1wa5miifyT152Pfl5ps2XpL3zOIceQdiHaH9dFe8y4N+iD2bP3StywMFnFo5CsY cXixTbnE0rF2ef+pOsShVovBakprB2l0ZAwOIFtM9Ef+cklj/BJ9NwWru9yn5o2OtN3r48OF xqj41thcmNci1iH4VzsU0PEokksZjMQsuzFLPVdfF5ToeVRdQT++WFfxIrp0qEEFk5mKayvZ qefFsd6JbcEa1hl5HbrE8XWY7/Flyiwh/hA/kOyUvfbGGbdL59f/nIfTOKH53zhjHG7wSyC3 kVkkY64fK696Kse5QceUmWW9XJlF2IZGvSWKrlaJPd79P9VGhmcoLw3AMaxCxZR0hp6fJjJU axFopVdYlP0QknA8W66hheFaUsQXyuHRF6FYhlq+sERMfzlQ4d5VRhQvbAzHUol84ds4TqTe F+GOnPRTsHw9Jns1PqogdTnL0cW6Qob/9wn5eCOlIG51eatnKakmiBfi2tCGWkAnAEE0lQcV MclSfhqCuxLKOmgwHoUz9U6xTBjIY6YKFUxl9E+JiH6CSo6M4euT8TkpBKdlgJ+AHXoRUgvZ mA10eYjO+SonpnY3JKCMFkR3TTpbsZk4lhARJdrWSDRKtPrkAiTFxWYBPYO8mFcFVEVkLAin I4N6RV7S55flwXpa7yKFHcfH9S7np8pkt8nNPPn+4kQSWYrmoLsmxHNJjKJRZDTK5loRvsoc KjlaYF/IojuosbTGhPzb8VK11B0Zs0JjfAw0NjciPjUKYKOL+VNiEJiMsvfCwKG+BC3jB1F0 cS6IKiwvlUdKxGbt+cDzneBgYaiHbZXhBhGdIvICMkXAm5iYIdXK8yNzqIixBS+w7tJ3qPHS 9cHC4ks45t31Sx/bPGsC4lVgx1Ytstio1Bdq8fO4V2NTS9JwjS9vC6Qd2907P2tRB/spSMmq 6HebXbcjTXw0GQ9bDA3cLPIcGoRVEfEdytEACaAz3sypnIVLLahYQulgzFB0B8xYWj/nffC5 JVdJqM/10cFZ0E3U8za6FFwGJHx7Yt+5XCQuEbpURTkjsudqiZIyyTAvulholkah65jfvY77 vGqJ8oCzHKtSovEEmBVFb/M8I+j9oSU+nLHQJXKBIDtUOTNA9mFVRaSQbi1JRpS1CK75qW1l MuBKZhGsaUbsrjdmCdZR4EUBM5OMHmJkCdYs3VYZNX43ZeDEFiPOScJdsIoaExuumFD4Ggrf pT66LbahQ+oAU5Pxs5VcxYwWKIJgQQRVgsdIMYjM5oc7LoP6R+oTE4CrDJ3jukT+gFiRIBTa kSHWd2I5EYwlOZnAKscJ6IOFKuM6lyeckHFp9w9Fwg+I+gAjpCoqGA4xwvge7jgWRrgIiSYQ HGdpfkQwwphOsYzIBB7XrVwyRQiTlWZ49MfDEGtwiBVcGplCYkkMKFnCJbGaVGnrLajlpE/D wCfKl9dr11lVqb6Rz2txejiQ46oKaXViFrCgRSgCH+ZAqSMKm+g9To0pakzPjir+qAwWlApF gFIjZzbVTZxKDC9OJbUYTg9c75KOIiSw4odZl9qxTePIw8c+leW7tCo9ytR9Kq9jCkbHR58E 057PQ8+sNzCiKKBKz1n83Hlp1QGJ5cKnSl+3ArbwYtXXcbBE4P+tjl6gJWHb3iGWH06mph0n e3+T5JSSloZmVF2yKnci79JIy/m27C+I5uUM17EwwhuIJGMWpGKpH1UXOEtyt5XclUeerCah vmdR4NDpK74mfqCvp44bZ7FD3dnNQiyKXWIdEIyIWMET3haxS86gok5c0sNaFaAXSc7x3Isn hD6NiGW531YpFc6xr1p+OrDQiR4WdPLswjk+eamtClAjel8kYPBM6z+cGcZhQn1w3zvuxZPC vo9dj+iZm9iLIm9DNS+wYod23Zollk5mVkMwXBvDo2ogOJcWUi5QRnHQMzJXzgqRpdXMCt1o uyYTcU4uWGZpxD3ipdKIK8WPbEqn8Q9W5/aLxvlsc71wyNOi2AIwCslAgtiLfcEsvuSjUF7l 3SavwY0VStGs13AESm6PFZuD8Y3CmrIykiEmMyB8AOIuhsMZJbJ8nezK/rhp9gAV2h5vChJx hZJfJ0XHV+4Eu71TkuC/DOBnKW0bQiUZbsTLskkTehsdUxlFIfhT1aiSggAY/Yn/XSzg/6Iu /7s6QEgXAR47Dk8ZwRFsVp8o11gJoCvyT8ukQnByhzg8ttdwVV614wdoO1AZfbpJj1nPKMl5 onBRz18ciAKpuYEI/cXh8eNiXlrd0i2aQiiypS2p+hAxJlbflpI+3WYNFYKQsRVvTsaKleZr ySi/nVVaJaq4QlauIkFIhOeE911aeuJTZN4zGllGZCTk2bpMGILNV+UFAH1a0TZeSJAOcS9F hvei2T3mr+/P92D5Z8XqrtaZgYoBNLirIrc+QP9SDCdwoqR348iMwKuICOimBdY8BD1bBpFT 3VCmniJr8WahvLRMNA0bfT0hmYHjFGbotmgzzcxkoEtzVVRUYaBmuXmY+B616U5c1e5tIi6N 9pRk6iQhekE8FanWmCMxcPWchvs32hlYEZBeXWZSW20EEo2LKyPRaQwaepwSLZw6IuzKD4KI 3QpVBvI740eSY5uwIkVnUKBysbaktCzISy5fn3ZJdz15WqgZlG1qtZQDntXBZ1qtdYw8i8gx 3fY3/1QQFkwLgupUJ/DGF3rRP5GzxALmQsKuKa0aGZQOpb/mW1ZpQefjbPGqS0dRmLja4B8f grWBMDyJ6cMRTFuicEm9AE7s2PeMzOLlgsorXrq2sT28txE5LWON2IeeeisnaOMtlfrR/LNw IKSxQyBVl/fUyxGwxqdPxZR2hKOSj6U6VYOtg9ylERIuvHxl0wSl0RkWZHkqtwptRLDCj8KD 3d1FyFQBeXITvOvbmHe1sWbBwZx6nl4dgsVCc+tKVgAZQRObvsW1Y7csxfhYQO0LfqD2vICr RyzVQHAVscm2DyWGp2IL2u2Qd1ntrOw2KauEPGi0LHQWATLwkhZ/9HlGsCJtm5xMBPUKC/qS vvAcBWKffLIaKzXaNOrZxqE2ykZjQ7IQS8e1AlogIfv+xUX4sqOexUdTAjwmhOzASXZarFrO gHhZl/SXm9JxI4+cB2XlBaRlgvimZkwJtNEIWlVpBttTimjqKCNDOh+ZqoNLQmRCLarAWRgT DqjkuJLMYTHUksBqaE/iq4+QA83TV6DBvAjt7AoduVaN9IDIN1iQeSyXGChN2Ny1xHqlOmjb FOcx7wmjEGU9ARcakRMNCRmaZd+UfaJa2MwCABqxExAzNdshyIZZBg664pyrShHF4VvsxmYL jKRgI6buQWehJO3jOAzo7yRZ4JHDQRGp+T8tVWG5XFsyFqr+xYyVk4XZHVJTfiK7Smi+F7PW tVzEcZ2FleNQnHVSB16gzvyZp2uiM6dg5dJbULoKkgndyEmo1oV9KyLLIzgunSaOXLJBgUPX oOxTL4iXNlYYhXT9LppAYTG+u1xsBtDRQn9Jd7dgkpBCWAbURaJJBCsgx4KhL+qs2Foim0ar CA3HH7ybYX6kamyYFS/JDgbFlR6kwFHNgTFnSbaNqaEqvPXuc45MUhTePo4XoZ0VL+iGE8zl 5a78BGG3sHfnzBzVXDJ30/rMEGFu1SYLh04PTObQRgyKVFDFUXh5yVUUZJNXbgIR/JioHteJ Aod3o4U3apYkz/XoDpFKo0sONEX9JGo6qqEXqyqEHM+9kIVrQbDVxD7e7i74vyAhqVdS7TSY jhKsQc2xcALLgJYK08XyEPpMeuHoBRF+hL24BiAkbgg3r3ffvp7vVbyW2UZ4Q3mp7zcJVzoV U62BAGsYoJCw351wzgOY7KbowbG2ob0tMouzIqcfM66jYaQKednNk8xApPO9tUIeL8Wvfk6+ P5xfrtKX9vWFM95eXn8BOIK/zl++v96Beody+EcJ/o9SQgkiJfJYv949na7+/P7XXwBzoBRv EF+vSF2TTCbSre7u//14/vL1/er/XpVpZkbCmW+kUq7ulwljAwoafYWcpNcCguOC6FCmj748 yhnDR7mSb3bYxVF6xxeZic/Eiepk4D9ne/u+y+sNGU6Ni0nM3+H3jshmeGkwisG+ne4BTw+K Y9yHQ8LEF9EXnhAt7XYHgnRcK/aJggo2mXpREmaJLiGYO4hiRlfyuMrL66LGH5aO6jqt4L9u 9Q+nzW5DInADs0rSpCz1jMSaodFk5AtM5B2waYQL+EyfaUa75BUDGsoiL/MUAfMB7TOAmiPS Jq9WRWf277qjDDOBxbMQURFwPte3RsfcJCU/jVhyASgA1miRwMWXbzvxEmjtUggRSt0gCF6f 42L9kSAAeiD1N0W9xVGBZbVqVvAZQbr9gECZaj46gpgbTVfmdbOnnpEEs9kU5gQYqfCjRY+Z E2e9JhsE+N2uWpV5m2TuJanN0l9ofIV7s83zksmBhWpTJZsitcUhkQJl3zXaLKqSW/kih6hd LsewJiuCiTbrXm/IqgHESRKqX7AhmBsxEuu+wAS+PefXeuZtUsMLadl01EOGkMj7BLz2cWYt Xwr4wm1kJ8kiTJotP4gu08GQ1yZ72xUQ6U7LkSUFDcAsmTLuu54GDNB1eG2V3+eJtiRwEu94 vpbnzMhtV0MMW0teXVUYUxfCpCSMjnsIGQIe+B/NLeSKTFgUOj1Exbwt9o02k5uW5XmmEbd8 Flc6DdAXJyQmxVhhpts/vIPt8Ngyz1jgisISBwS4h6KutAJ/5rraUPmBOlKMJR0CYKbGvJJm N8ftbmV0luSkvD5wKBO/7Lti2dLAV9T2PcMQIhVjfkwDMMUiI/PTkym2HQXb0kqLfETjbF19 mRnroqsE9FvW3NQST5P+PP2lCbJfLdmo7LDVsdmmxbEs+r7Mj3nNd2zFtAj4g86vLpVAHkN7 k80OArtSgGnR2goI8D9rmxEC8EUMiW3Cjts0075uSSFNJWQURS4ksMFnvWyit19/vJ3veceX dz8QAt30ibppRYaHNC/21gpI/BEbrNqFL2nZJNnGEpapv20tcdQgYQfA2PJYRJ/ZKstDCNeg 9FBRY8XzGy34JfySmj5FOxqmKIK36uCAUEM85O0NeNDVm9zU4iEooaE2i/TKQy7OOGmpR03J Yl7oB4r6I6jiKQUdkmcydVU7cjW3hYm8sCCyCAF51WXLVWKXuFozDlTNA1SwCJJ4M/T1OnJi 4BrEIBC3fBUyFpx42Np3JluLD9xQL33ZxsHCzCkt8z1gR5AwlXO11UsjlUrVHFghvnkX9PFp p096cveehFSjEUGcjF5whtZb/IGbOq7PFnGg5aY+46CpkLnxQm+2wSSD+a56jymHsY4kI0fW cCmr1x7CdgYL+qpbCpRpsHQsnuIya6sz8DRTgr/14igmCdpUFiHU/3w8P//7Z+cXsQh2m9XV EH/0OyB7UPvu1c+zNvOLthisRJQUvQQ6cOdIBfBkTISnLaPhuGIaxasLzSIf2of5Qy5d/ev5 yxdz7YJNcZN3zBhYA0PCptuaexRq+OK5bXptkI3cqtdrPnK2OdcuV3liSznd3liLl9qX2FEk Sbl6WvS3lm8Qs3dkjUa/s+3r+ds7ABG+Xb3L5pyHSX16/+v8CLif9+Le7OpnaPX3u9cvp/df 0LUVat0u4UfbvKaAMnA9k0qa8NH58CNTQW+fSExGsv7oW624h6ot7TVaDwy8JE1zMB8tygIH RRJA9MUqqalDXM5XpiNff8DEi6XdTrlaFaxZjRuoXZ8eERgeEMCLJoyd2ORoKgCQtmnfsFua OFwL/v7T6/v94ifljpmLcHbPtU7qdrpPdYRYINV7BQ+WE3BobEWQr6tribWHMxD0tlNNbCey FmJCpR93RS6stW1F7fYSMFSBt4fiGUrNKEzpNSMvWa2Czzkj34kmkbz5jF8jJ84hpl+1B4GM Od4iopJKzjHlU2bX0RGCVVEyLKEiEKIH4IEOvpxL9GQ3M7T3UZWhWsdhRmQyOhakXuSajIKV josBPzGL9OsdRQ5cIDDLJ3zn0OOVylioAPOI41k5oS2zmEhR+U4fU+0p6MebrKequ/rkuTRC 6DSaLz54qUJLHULPFBLPXReadn401RiMK+fLRWJWb115Dtbmp7z4+Kcf4GaBIHZsSUnTzVEg r7yFS86dbs85pJXKJBDHC6JjWVAR1c74RIx/V3CvLy4m0NdLIm9B96n+F1P90mAXAoFtlfAv rU1CgJiWQMf26GhRIEHwptZbRguHmOkHP1DRlmZ66DjEpBArg0+vJXxZItYrPu9cx6XmXdpG S205EGEe6mywLpv6DiCVP9wQMsYPjC7dV8CxQnPhktoH5zJ1DeW1fbx751r60+WipVXDLIPI xW/vlEhAunyoAoFnGWdhHBzXSVWUH25GkX95MLv+widGpPRrMPp28DYgCsX6ayfqk0sTvfLj XrXKVOkeOaOAE1COtZMAq0LXJwfH6pOv+YWbvd8GKWkoPQrA6FiYBdbNKlV6QC69FJIWoaCA Sd5FkcHZxhiuL8+/wpnk4mBd9/yvhUPUx/ANmRij9dH0osxOz2/88Ep+KAMvHtBo0ZyYqaad psiWCyhv+HOqMRzBD5U22WluEwg8wTAXg1APYe8qtkGRJ4dbY04L0Q4w0JukhxKZg0Ly4exw AEP3rEIHI2H6tIVcj9Wmoq8qZxki++wGskw1m7OBahCwy9uW7YbomlOLphMw/tgaEC312B9w GM4MoouzHjejbPhjl8wxJTl5tVtfvXwDsww1pARkui5QlMIbQUXX0UNy0vhEsI4sL9dQEvqi WPv8nDrZHbKCtWVCL4QtRJynbsJVZ40dhMQr1pjQwvjf5HXRfcKMjJ+zZsZcRUDDJUO97GS4 5rTB70W7AeeWMJxQJPjZ+aAVrNupxgFAqtZ8EZxJMEcGB0ZlfuxXzWGzQ30tI+WpHTUECKzy emfM0+p8//ry9vLX+9X2x7fT66/7qy/fT2/v1AvQ9rbNuz3Zkx/lIrI5nJ7HqzLjNQiioq/A hVi9sgWiONHzHt+IlUbcoWABOK3m+z7dagnhvkfGVp+Ja/QeCVIyfprkkWNNlIGf6mXlC0b6 N4MQ/w/iKFEx3YG9qS3XJYLZJXUvaiK8qPVCDmxYCoFNZMJuiqYvV4M1lZKUj0URwXJoDC3j dg/WK3OhrS0wCg75WKrR8tGZqnEdgSgRBroGrnaaTi9BleZgmGDJUEZQ31fVDtcK7wiyiyqG KSLtvq1kWK9hnBJDcC7Ppstvbc92rE82hcVtXniiD2EDhtsf6j6+reQ1lToyFFdbIkW67Zpq DrCFNmDJ4ynLpKXNbyaJFgB6cjJxv6rID8siqZ01OgTbfIwmPtv2ZGkGvuYMPJLL9kI5YPj0 aEUTjOuVMMSYb3Yv5DBERCQ/DUlXpIXX7AXNVRy8eEz10eNbYAkBmwkjfGNB2Kjyskzq5kAG nhhzKq9hEvPFESGBixHOebx58jZR9Qt5dw+8cadPX56eXp65/gAxaoTF5H9eXv+tru5zGjvG iCLDT5BLX/XBVnisCDwf3ThozIBSz7GM+tancNIszSMVfFvlMXcBDoyt7cuUNfkY8pNuH2Xz u+Ejt4a4osYWKhOxl++vFDoA/zLfno5F7AYqdG55vSqziTqXg8prTATPiny/VydCm5L+nYOO rAkXvC12VlPm7vT08n769vpyT5w2crCAGe6Rp8ISKWRO357evhCZtFxpV44j8FNMTOXsImhC o97A49exTnqu8VwQ4ASdqyhAY0FRgaZNEyxsbwrhhSgvL16+Pz/cAG75fHKRDL7p/sxkpMXm WYQb/eXqDR7z/jrfKxHZpNH00+PLF05mLymysBhNpAm2TMczPD1Yk5lcaeP8+nL3cP/yZEtH 8iUQ76H9bf16Or3d3z2erj69vBafbJl8JCrfs/6rOtgyMHiC+en73SMvmrXsJF/Zkxvdm1+q mefH8/PfWp7jVi2i4xz36e53BayeSjGZSv2jrlcmpFAB1l3+iZiX+aFP5wfA/O/3e77myLGm jKIpLykuYF7+SFL6/nqUEYDj1k8e1yzhy7VyRTjQdWe5gTycmgHCZkndUw5iE8DAk8nwvADd /swcAS5wMVP8zjHQ274OEADGQO/6eBl5iSHPqiBQ7Q8G8mi/RNSas9IL6hg/IjadEmegUN8u AU6WH2bXqpPpTDumK5IMNkKGbyrwr9fFWkhh8vBwCkoP8S35p/oEqKQxRMVXuXYono6liKvs FXC+vSF8HDB/zlyuYff3p8fT68vTSQ9HkvADvRO6lpi/I5e6FUyyQ+n5aCwNJF0Z1bgI/0QQ 1UeygYBdo0eihuGyqhKHDoNQJS7G8OEKNR+k4imbuqLIEledhVni4Tg7/JDXZWQzCI6D7iEV g1DxvaNHncxEdw/aqhQr802SIj+H6wPLlmTPXB/SP66dhUM65aeeq8Yxqqok8pE7viRoXvcD Ufe452TaqZRzYuS6xwnLIHBGBAFMVaslSfT9bHVI/QXpDMw5oatWg6WJJ/0DlfPgNdeR6Yto 4K0SPWjTuI/jGSJnzfMd1wkg2uTD+cv5HUJMvjzzzeAd7V0JwIRsBERV2Sdq0yVZ5JA4BZzh hqEm6i5tc5CzaPwNwMKP6JcPzgoX4bFYgwc9P4UkZZnTOGxIkkah4CKRUd4ojI/UeQFY6lyC 3xjTVVDo3uesOKatxzhrSRoDAsNfog8ul8gub0DTopFPhpggCGgmTcHx1MGQ6hLoiW9SWgCP bcH3TWrAbg+R6oEMqOB+hG0TgRRTaQUHIfTwPV0++ioEB7kdS0qMRdD7PpwOQ0d5qQSAaheb fwDJd+kpBLylxfG3yuvjZ0e2JFGhOtkBdPD8aXFY2IMSNZiEYg44Nh8L1CszfW+hc7LyFtoL wiJ2UpOmmr2ONJ8tsBGqZDiu41Eq3MBdxEyCwBrJYkbbbQ780GGhGnNCkHleTmBkxqKlJdhc D/GAUz/wqamohZyZqSFQx4GcIh38IMf8vDBeWgTVZXL9+vL8fpU/P+DzkcEcDmPfHrmmbigj sReG9Po8J5Apvp6ehCG7fCNT1+O+TLj6tB22YKwE5CGpL6Qpi/GGXySfrK7H/DQbLRbUUgSf LLoCtNxNi+1CWMvIuAf7z/HygK4a9JpRCoMa+2DuQkLiIvNYgjdKvSmno/b2/DC+OnL54foF u5AOmo3UVvHE1dijEqoc6ej81SJWbIZrdidzXsbaMZ1eJqHxslZpEiiUpmzPAlthiDifI42M UbJeKwzNQ7qqxhteGOW73jCD+GS6k/OCViiCReirKnKAEAvgN4bP5xSfhLUGhh+ipD7eKoNg 6YIRLssNKipBsPQ67ZPBgtZtgtD1O9wmfDdzwnChb30h6fEAOcSatgEUq3IShMtQPxpwahTQ QJaCZVOogii0qWGcZakw6Deq+uGpFlZ8UYsxkEbGfJ/GrwpdT8W04Nt14CBTGr4B+xEN68c5 S1ffh7KE72sueAfQ+xDnB4GKnSNpEYJOGWih46oz5+JgltanEMH3+9PTj+H6Rt0XDN4ANXD6 7++n5/sfV+zH8/vX09v5f8AWP8vYb21Zjjd58jJ2c3o+vd69v7z+lp3f3l/Pf34fUA+mdocw DericzGdNET6evd2+rXkYqeHq/Ll5dvVz/y7v1z9NZXrTSmX+q21L3G7lPHCSRF9q/2//cwM qXCxedAa8+XH68vb/cu3E/+0vkOKU/1CDTMpSY6nVUESqZum4WYAr0uHjvkoTl+1cULjNz52 DjR0KbA+JMzlqq0qN9NweoWO8lD2os1t1/AzuDKv2p23QJitkoBzHhZymTo5FIxmgbXdBTYv lMHuN547nFu1yWT2mtyWT3eP718VXWekvr5fdXfvp6vq5fn8jjt5nfsQf+IJE3x0XPAWjoqv M1BctGNTH1GYarlkqb4/nR/O7z+IcVe5nqPo59m2V5eZLSjTC9MTe3S6rYqs6GnLk23P6LgO 236HoiYUXHFTbxD4bxd1hFH6wWeWr2vgIfR0unv7/np6OnFt9jtvDWNWIVTAgYSDuQxEy71V 4ahTSv7GusdA065prqsDGUu0qPcwukMxulU7HMRAw15haK/Cw7guWRVmjA74fKGl1NkBjYBd OlTqfIsqfZsEYss8nOamBBuGpKRe9ZPsDz50PPWsm5R8c1WNuJM2Y0tPnQCCssSKymrrRGRc KGCoa2haea6jmgEDQd3O+W8EPMZ/hzJqJqGiS0Sbtmu0ENhu0vIhmywWtIHXpK6y0l0uLkZl kSIugm4TNMelFSf1XpNsdEVAL/gfLOHnaNI6tu0WgYsUpLLvAsuNdLnnC5RPhq7gqxdf4LT1 DCjIQaVuEkcDG5x4Tdvz4UB/uE0gOpzOntYRx1HB4eA3CgzXX3ueagzKZ9FuXzAUi3Ik4ek+ k5FG3afM8x1fI0RkaLOed2oQUudVwVGh9YAQqQ4znOAHKvbsjgVO7Cr2W/u0LkWzq5ZtgkZe iu3zqgwXkbLI7cvQUS8MP/NucN1BZR6WFbwESAu5uy/Pp3d5YUvsNdfxMlL2muR6sVyqq8Hw IFAlm1pdWyeivujODAzammw8ZOOvzAGQzvumygHfwkNWXlWVeoHrU8vKsMiKT0nFQT9ajsW7 xJ7Vjh/6vIdgRghGXGNo409jIiVrZHaV51ChGSUd7y8ab9xiRotFqlfnoA/fHk9/a6/RiD7s 1veP52djZFDrWFGnZVFPXfTRsief3Y5d0xMgSdMOSHxdfH70z7369ert/e75gR+ank/4ImPb CWdc5f0Obb7w/tt1u7YfBcgCi7sX2D7KpmkpSXW8gJ0UdVNDFxYdMb69vPPd/Uy+KgZuRC32 GXPiBb6QDnyMiShIMYmoLjjqFXgKUbPQBgYkh3TyAk7g4btv31lg3O6+LUEBps2i6WqTTcKb 7B21SFm1S3hT+Ec5y9TyRPp6egM9iljhVu0iXFQoEteqal1SsVQ1i1XSKXpg1jK0M6E9HCOj tajn2tJRI+/J3xpKtaThBbMtPUc9BVQswE8S4vewZsz9KqkWlHTO9JRxMSyEWvlVKnnSkxxN 5+0Dn7zq3bbuIlTy+NwmXNkLDQL+0kjUVj2jl2e99/n8/IXUfZm39AJyOJnphqH08vf5Cc42 4An2cIZpfU8MLKEDBmocwrLIkg4gefLjXr2eWjm6r9g6iyKfDhDZrRdqaL3DEgfz5WzkEbsv A6+UIXDoO5TLtRlM595eHsGo+MMnXJct0bnNZY47qDSTUd3FvOQCf3r6BndL5Hzlq1dRybhQ TdrsJJSiOelwOOyqPCwXoePrFPR8VbUL1fRS/I5Une6WqV6L4rebaWuu58QB/fRC1WrMq+5X 84f5D37GzzChyBCynCCBFRO5cwFX4gf1pKkP8Nui3rRNvcGf6ZumxJQ279aaDCAxCMyB2Xuj ygESajxp8p9Xq9fzwxfV7ksRTZOlkx7U8NFA7bm676NdCKjr5Bo9H80feLl7faDyLyBZJIPI TNJ2M7T2pjLyL7pPV/dfz99MT44xGNTgSDMqK7r8tAi0SXotmmbWmJukg2gUaeFiXa8rkpIn aNI+UfqAL6Z5DwZNfdeUpQ7fD7y+GOKVGNVot7dX7Pufb8K+b67DGGCNsxXVPK2O1xAqYsdW rmBNReA/ju0hObpxXR23rEAvBIgJaeljH5dKIa6NjvI1L0SorEpKER4voYzuq1SZNfyH8C9D hLJNxye59vQKvrFidXuSN3DIC2gsxgUxpeET2ii+3+5qPj5WTWkaICfPD68v5we0+dRZ11hA 50bxScFIFF/HEThD/TnhY8jrw5ur99e7e7F7mb5OrKcM8aVZZK8gUY6UoWVn1XikWwNJTRI0 Ou/ErtiO+pyKfjlRRwSR+ZbRrOSYaN1ukKvjYDPe8rOKGdhDSXOsNt0kbGgxukS6p8blJDXY AtgyqZJ0e2hsMWuE2Korsk1OVGTd5fnnfOATqYdPt3DYktuk8hApsu7yTaG+Ogtiti5NynFd 5UYFBjpUhBwASMgsJi0ny3RZLlnTYZImAS1o2SSwqwtwdRNebpZo2EWjOC7CL1i6xzBZ8+wp C0s4bXGw5H/Xear48fH2r3t8LNS2I/lqd37kmoFY/1Sn4pSPkvx403TZgCCE1LsElEquUPLT Z5t0jDygAq9hxYGnL1WDYdjDVXPakXJcgSPIsWkVHrjLHoFcqNF+K76CATbarYXP88rrtLtt h6ioM3nPdyCMgjQRTZdrQma1K8q+qMFmsE76XUf6pK1Z3fTFWtnlMp1QSIIEE1NLk0gGWYxP u6ZPSE6y65s1849r8jJdMI9rRRlY7wAIWyGkO4bm2uDcSubX8LaAWMJqH840ACouOj4Qj/wf tWqUSFLeJHxurLmK0dzQl7pzqoLvcTSSjCJ04C0ranyx4Mcq75O0aW/HfSu9u/+q4eIzMQPI TXKQlhv82+n7w8vVX3wWGZMIXHtkM816BZCuLTuBYIJS1SsTRhDBVRcwnQstsJNgptuizLqc wvWQicFOCNBPJarhnPV13tVqL2pQV/woggsvCPOkpnURIXNI+t4Cobvb5H25IkcWVyeE62bO lxblPDcCt26KTVL3hWwNdZ2Df+QIV3ZpomOUI1PBpC8+gIflFVWYOu/56netSimqz/g55ffe 1X6j2J+SojebyvTRSYtT2I0lIKMUP1pCuDRNf7Q5XkNKmPvSWJ2vS2TNByEYHlwFymqmVYQy iN90wlaZL5ONCibIl2b9J9QUNZQOKsp2ddem+u/jhmHga0m1r9pp3m7pFSwtNLfTAlqbTw5G 3X0ILviI3/AliOUpX/VHY/8fWh43eXLNT3YwWmkMXSG1a8Hv2843Jo/KnLVRg0qfgWb+MdtV LYQgsLjWCsEPytdkydEythIxJ0jWsqU7olZRSfiPCYzgp/PbSxwHy1+dn1Q2/3wulkLfi3DC iROpV4mYE6HgcIgXWwx0NSFqeGgigeXrcWArV4wtDDQePck1oY/LpcLBaRz/wtepN0BNJLRm vLRwll5oaYqlatajpXGtxVz6tJcNLg5GGkRCXDWHwXakzQpRNo77T0YKl6IeMUAmYWlR6FUZ C2BLNPJd3Doj2bPl93GVbR088rXeHckRXZAlTXY8Ohf1BRzRA0y/bor42BG0Hf4egP10TZXU JjnNud6e4iwknZ+Rdl1DcLom6RF8/cS57YqyxPdRI2+T5JxjbXYhws/QtNvpKFHw0tKwrJNE vSt6S+VlmY1M+WnlurBsSyCz69f0+M9KOhQWP9jCgCc1ZHSolDbgp/vvr3Dhb+AiwYak6qS3 bACQQRZSQO7yT4DKcyQ081HfzTtWcF2t7iFFx0+F9Ia0GrKkrCogrEWeyWLNbrHyPDnSccmO 2ZYfW3MZe8cCdQJ6gzhlVjkTV6h9V6Q09tUoS1r/SJZ2qIA1p09W/CzMp1BpDwG05gdtOHay ZteRDqigBHEFG46lFe/bbV62qpMryQY44u3vP/329uf5+bfvb6fXp5eH069fT4/fTq/T7j0i Nc/toCJ1laz6/Sew7314+c/zv37cPd396/Hl7uHb+flfb3d/nXgBzw//ApTeLzCEfpIj6vr0 +nx6vPp69/pwEu9lxsjapPysUO42cGDn3cqPVVw/G4981enp5fXH1fn5DBZv5/+Zw64NqQt+ 2oIap9fHuqnp8UZ+4f9XdiTLceu4X/FxpmpeKt12MnkHH7RQLaW1WUt32xeV49fjuPK8lJea 5O8HACmJC6h4Di7bAMQVBEECBGh8OBWZJQ4vG2FkDlogG3x6Gf/NDu+E23e0HGO9wAeeK9UM A2zLKElaxG32HkqS4i2hGZt79vfgR31E++d0evJhy5FJO8b1WU0H+udfT6+PJzePz8eTx+cT yY1a/BAihj5tAt28bYDXLlwEMQt0ScN8G2V1qi8eG+N+lMrkFy7QJW30+64ZxhK6Ib7Gpntb Evhav61rlxqAbgkow11S2J+CDVOugrsfqBsylnqIs5akHkXDc6g2yWr9pehzB1H2OQ80zOEK XtNv7jgm8fSLYYu+S2HT0K7YJJxCCNrANivcEjZ5LwYlYg/0pEZeOL19+/vu5o8fx18nN8Tk t5ju8JfD200bOEXGLnuJyIpIpaAxZz+ZsE3cBqOJK3h7/Y6OLzfXr8e/TsQDtQozlP/37vX7 SfDy8nhzR6j4+vXaaWYUFc5wbKLCaWeUwqYfrD/WVX5JUYXddbjJMJasFwF/tGU2tK1YuxMg LrIdM/kC6gSpZoSYkxFi6DUK7nQvbpfCyG1+EjqVRp3L2RHDx0KPc6FgebN3yquSkOXfkI8C RthD1zLfgE6zb1jj57hYUu88zCg51G7pGkWwO7BXLmrmMH1U17vMgAkNdiP/pdcv330zYcQD HQUqBzzgpNkDukPK+8lH7Pjy6tbQRKdr90sJljZEHsksOoLDfOV8ioCxpQd2m4CPu9XHWI/N aWNU0e5yYwv0TvA0eRiiT3/qOArn+MwV2PEnpsNFBstLBor197cpYm5VI1h/nTSD158+M3UB 4nTNvh5WEiANVq5YACBwcStOORRU5Ed+Wq0V0lm6Wai+dlB+8KeVuzUCmKm6cGvEfLUirDbM Wuw2zerPhSW4r7FmlmMG4qYBROrI5lLzunv6bsZqm7sdCFe6eWBDlzGziIixQv6CUtGVfZix V79aY5rIZV4FtMsL82qfWKdnnsJ5Vm3jPasG88fkuZ7g1kKMHzoLf8TL7Q0k6vsp1/7W4DHb upfXcK5UIOhy7W3nsjZBlz7DmYpFy8xJLHwhIkf06SBioQpeIk1+o+Jt0+AqiN2lFuRtoOfW slQVZrmNKKZRtkIiXI0QVOFalK4er+C03/rGcaRZGGqNxF9M4TJLJ1xNs9tXyO0+uI+3RrSn dhM9nO6DSy+N1tFRMj3eP6GrrnXOn/glyYOOPyyPvHjFJ4tX6C9nHgvM+PXCfAMyddWIq7aL x9Y31w9/Pd6flG/3347P4ztoviuYsmqI6qbkQgCP3W1CivrSOwNIGFZJkhgrQ6OOi3i71Uzh FPk1w1RWAt0Ma3cu8fA3BPqbFQshW+PKhgnfqoOsv1kTaaN7pdpIOvq79ZDR0F82bZNZmVTM gKW8w0PQXhaFwMtBulnElJ3O4SPCV5r/oQPXCyXIe7m7fZAuvjffjzc/7h5uDbc7sl7DDkQh fdvpapT3bXhH2WMvw6wMmkuMUF12yfn03vPb8/Xzr5Pnx7fXuwddKUenVMNPJ8xAMcHQ65o1 f/QSBZ2ljOpLjKJdWJcAOkkuSg+2FN3Qd5luYRxRSVbGmAcXhgKaYMxN1cSsMirvdoPcLQwD 02dVEdQuygKTIwMa1qOiPkSpNIfLyz+dAl0dEtx/KUl3nWfmBUgER2ZYNAZo9dmkcE8C0Jiu H8yvTtfWv1NmAZNdCZNnkQgvuRepBsEZ82nQ7P2CFSlgEvhyP9vF8RI00ozBoC+4Z7JIOz/Y 56cmKOOqMDuvUFeofMDyzQ1/FNgFyLuxkC9UNDiI8GGC32twlh6FO0NOYI1+QhyuEKwPiITg LscOrkKTK3PN26QUSRZ4FCSFDxreBDSju7QvuDzKiqKtgbW1OZDQMPrqwKwUG9M4DJurrGYR ISDWLCa/MvJ3zIjDlYe+8sDP3MVN9+FmhlY4ZcVDW+WVcQDQoWhH0hergYMadVwYaS7RQdtW UUZxm2G4G13vQXkBkkb3zJYgdKscDAmEcCOnSUn1y1QmIEo3XWrhKElLUNNGZ/tkUe6EOG6G DpQsKUjHHUdmTtB5FYmjgndfpIJgk3V8ecbiNrnK4TDLq1RE29kNU0PUfRG026FKErJrGJih MYYjvtDleV4ZDcb/J5nAmmLRTUcrPr9CG9wMyJoLvCvRqijqzIiaUGUx+R7DRqa9e6AI9COX 7eK2cnlvIzp8aVolsc4ISYVnADsxJ0G//NQ5i0DoJAndM1yGp/2nRs9+wzQyoXrpDjwked+m ZIldICqiNkhsApqXfZBrc4PW0HIzi2Dj8bilT5jGv1HbIejT893D6w/5puz++MKYBElX2VLS 3HPDj5LA6PfE64pV2VbkarzJQWPJJ5PKv70UF30muvOzae5hONBM65Rwplml0XVPNSUWVqKe kWcvywATKzmvErx9n84+d38f/3i9u1eK3AuR3kj4sztS0mVMKa8ODH14+0gYGVk0bAtqC2/c 1ojifdAk/L6jUYUdHytjE4eYxyar7TxICi9KMg0VPd5koLTgPLWboBADNKM8X388+6KpzMCP NQjdgnKgcPognAeofKCxx0d3DE0FvtxC52Xgel0WjAhqmiYSamDN7ErAB3lWSm3ZGpUWliwG KSyytgi6iLuTskmoi0NV5rq0oL7XFT0e0FciGryVg7/hPq86VzWRUI6OMr2zzoTvZrNpWQSb jHyemwtNTs7AyYwsp/P8488VRyWfsdltlQ6sNhR9f89NJ4D4+O3t9lYKkumwAotVHDqMCVmV 7iwg3kkcZHpkVPuSFSaEhIFvq9I4DpnwocQbptJ6rmDRXImGv5KYGwms6skmRiRNBfMcDPYm Z1FV4VdgKTZqDO5Warhh01AeFtbnI2ahBsl3PcrIBaod94Bs2nUUjcx757ZCIRaKl8HoyY9h aVQl36Ne5B0RatM2aHX/sSiiVhJ03MpnrARLnWXlOEzMHOr0ehtVO6cSKAvA+GgWvbKNUwPS L01Eis9K7SsHqv8Eg969PcklnV4/3OrJ6uEs29dQRgeMoivFbZV0XiTueBjfutDJasyV/h4a FFO9OF/NI9/EVlXyIfEvhkJqkKgIwJgXNUuz1GCNzNtgm2ZqsDbmWMOQ9rCYO9BbGX7aX4D4 BiEeV8Z+75sRXVZglbANVBXLqAZeNe2jiSQts+9mcAvDFttJ1SXQVBUIRtdjOu9JSrnWRRm7 G7PFjFj/Vojauq2SF01ogZ/Wxck/Xp7uHtAq//Kvk/u31+PPI/xxfL358OHDP002lWVvSOG0 teW6qXbMizL6DHtjbyZ4wuo7cdCNWGodqcxGzvbDk+/3EjO0ebUnjzq7pn1rPEGRUGqYdTai VxaidgWgQnBaJeExkRpuqbnwfY1jRteqXApKfaxg0eC5zHJ3mTvJKfr/x3yOBUr5BgIryYON /pIJOYyQM4x0IBiqoS/RugJ8KK9+mO1KbnfecYIf5VrHjFLGnhbVzoFYh1EYHY9eAWagH3qL ikABF2UHWs/0+LqJelaTIZYGpHngUUBfg/kJxA9QojJg/we4V5L2O4mT9cr4Us3T/IQJgOKC SYI7x/MwumqPHkhMqaY2tFFz5zloUgpSOpeaRyfGUAd6M8ZJGETTULSpr1Kt5l1rSUtlacZ1 AdWU0WVXaXsN2RdmZnXlUUkxoADV6BsUTF3Sl1LHX8ZumqBOeZrxJJlY64RBDvusS/GqorXr keiC3hoDAd6fWyT4npHmHinpuOEUguafSwsYqdJk0TNSdgVjngxWu2VTIlPm0rWCndYHzt9l R/SGkEcWAI1fxTBxBk0rSj0Hwwd6+tYhRAHHNziOsH116htvc+yKFCFzlWP12MsDv5l+raU0 FMYWDVDQsxL1EXe4pD3cYak98PcMndeFYmzJBbzDPc1oW4I6DWvSmeoRMend5rCHIMVhtkCg 0WNwdNW2BB3Bg7LEuG+Y5Ik+8DgPTOTAsRyhcUp2e9vD96FQo7pwe2PP5MJym0dynFTVRvbN Pb8endnoAhDWtf/UVxRZRaQsNkUjooo654lIMi2AIQShlxZBw6t5+qJ6P+Vv269xOF2k+Snl gAjQfumeGwfWxxi7LIZDfRplq9M/z+jS2j4ojk2Fwc8KuRViq5WZfSor38Ydb1DBL2hHhrNO 42mwWMKG81YCKpa/202IPmEOfsTqZolJTxsFBF4Y4XixJehPcXCxevFS2fx8xt6xm71NxQGf ri4Mh7w+ls7SrIxRVG1UGym6CL4FRFfxoQWIQBq4fcWGWSetCuZHAAblIeejUhJF39tBeHTs gcw8fjxGM0h8YROIokFDJz0LWhha30tlwmYxb7CRbLpd4OFd4cuqLbuOeg8FYLg3x7JOnOkh v4UU79atXN+zVEN7Pow3L0H0spKsKeAcIJxKZNSFhbny3ccrzqJ3UerJmPllIYoIdkbu1KVW +07UeL63hoK2GBQw2oaoyiOoHgBOFN4FRLd35UCXfLAbYPhRnwrbBkWds9uddqW1iQ0rGf6/ dCXXh3SrhfeYeKttXIETztg9HWKmaEmEUT7ybFMWhj+cnCoq9t5pCnAPWrUy9Zhf96+Tj/EU hWbBq3wY89zpamroeKaOiHQd1BvyQQRNrtxmOE6l1OcdPdaPrBzjM8p7MNwb+cDiqof1T4eT pWuWPCRznm/qJ3VA66nRJjSWx7gxL8nyrFKb8ccDH+Z0xpuGpQnhrkKXxvtWT53dycaGt3Me 79E68NqhZQnjacU+shfZkrlYjhJZUGrN567u8c0c7oVuZIe+3GPMm2aAsyy3EEa0bclxC9j0 orW6az+4k3bU/wHfa+YDArQBAA== --ib6vt5qvw7k5gkdh--