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=-10.2 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 DFB8FC433ED for ; Fri, 9 Apr 2021 13:57:49 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id A971F610A7 for ; Fri, 9 Apr 2021 13:57:49 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S233781AbhDIN6B (ORCPT ); Fri, 9 Apr 2021 09:58:01 -0400 Received: from mga05.intel.com ([192.55.52.43]:3988 "EHLO mga05.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S233569AbhDIN5x (ORCPT ); Fri, 9 Apr 2021 09:57:53 -0400 IronPort-SDR: v91Rj5TMUBjQXmH7hZHmc1YlN6UDtvKbEpq1JTPY2N6gpndCOv5xo+4uRZT3PZICixIyCytqf6 54ke7zniBYzA== X-IronPort-AV: E=McAfee;i="6000,8403,9949"; a="279042263" X-IronPort-AV: E=Sophos;i="5.82,209,1613462400"; d="gz'50?scan'50,208,50";a="279042263" Received: from fmsmga002.fm.intel.com ([10.253.24.26]) by fmsmga105.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 09 Apr 2021 06:57:39 -0700 IronPort-SDR: 6ieMKBpa0mIfBzw1NitaSCcoz3GyxGPk3ZJp11CcBjK2Z0xZ9bgsk4fqgErKNdTHtLS0Li0gL2 phKxFr7OxT4w== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.82,209,1613462400"; d="gz'50?scan'50,208,50";a="450246707" Received: from lkp-server01.sh.intel.com (HELO 69d8fcc516b7) ([10.239.97.150]) by fmsmga002.fm.intel.com with ESMTP; 09 Apr 2021 06:57:36 -0700 Received: from kbuild by 69d8fcc516b7 with local (Exim 4.92) (envelope-from ) id 1lUrdf-000GxL-M9; Fri, 09 Apr 2021 13:57:35 +0000 Date: Fri, 9 Apr 2021 21:56:55 +0800 From: kernel test robot To: Rik van Riel Cc: kbuild-all@lists.01.org, clang-built-linux@googlegroups.com, linux-kernel@vger.kernel.org, x86@kernel.org, Peter Zijlstra , Mel Gorman Subject: [tip:sched/core 2/5] kernel/sched/fair.c:6345:28: error: use of undeclared identifier 'sched_smt_present' Message-ID: <202104092148.S2F5uRsk-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="7AUc2qLy4jB3hD7Z" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --7AUc2qLy4jB3hD7Z Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/tip/tip.git sched/core head: 816969e4af7a56bfd284d2e0fa11511900ab93e3 commit: 6bcd3e21ba278098920d26d4888f5e6f4087c61d [2/5] sched/fair: Bring back select_idle_smt(), but differently config: powerpc64-randconfig-r033-20210409 (attached as .config) compiler: clang version 13.0.0 (https://github.com/llvm/llvm-project dd453a1389b6a7e6d9214b449d3c54981b1a89b6) 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 powerpc64 cross compiling tool for clang build # apt-get install binutils-powerpc64-linux-gnu # https://git.kernel.org/pub/scm/linux/kernel/git/tip/tip.git/commit/?id=6bcd3e21ba278098920d26d4888f5e6f4087c61d git remote add tip https://git.kernel.org/pub/scm/linux/kernel/git/tip/tip.git git fetch --no-tags tip sched/core git checkout 6bcd3e21ba278098920d26d4888f5e6f4087c61d # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=powerpc64 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): >> kernel/sched/fair.c:6345:28: error: use of undeclared identifier 'sched_smt_present' if (static_branch_likely(&sched_smt_present)) { ^ >> kernel/sched/fair.c:6345:28: error: use of undeclared identifier 'sched_smt_present' >> kernel/sched/fair.c:6345:28: error: use of undeclared identifier 'sched_smt_present' >> kernel/sched/fair.c:6345:28: error: use of undeclared identifier 'sched_smt_present' 4 errors generated. vim +/sched_smt_present +6345 kernel/sched/fair.c 6259 6260 /* 6261 * Try and locate an idle core/thread in the LLC cache domain. 6262 */ 6263 static int select_idle_sibling(struct task_struct *p, int prev, int target) 6264 { 6265 bool has_idle_core = false; 6266 struct sched_domain *sd; 6267 unsigned long task_util; 6268 int i, recent_used_cpu; 6269 6270 /* 6271 * On asymmetric system, update task utilization because we will check 6272 * that the task fits with cpu's capacity. 6273 */ 6274 if (static_branch_unlikely(&sched_asym_cpucapacity)) { 6275 sync_entity_load_avg(&p->se); 6276 task_util = uclamp_task_util(p); 6277 } 6278 6279 if ((available_idle_cpu(target) || sched_idle_cpu(target)) && 6280 asym_fits_capacity(task_util, target)) 6281 return target; 6282 6283 /* 6284 * If the previous CPU is cache affine and idle, don't be stupid: 6285 */ 6286 if (prev != target && cpus_share_cache(prev, target) && 6287 (available_idle_cpu(prev) || sched_idle_cpu(prev)) && 6288 asym_fits_capacity(task_util, prev)) 6289 return prev; 6290 6291 /* 6292 * Allow a per-cpu kthread to stack with the wakee if the 6293 * kworker thread and the tasks previous CPUs are the same. 6294 * The assumption is that the wakee queued work for the 6295 * per-cpu kthread that is now complete and the wakeup is 6296 * essentially a sync wakeup. An obvious example of this 6297 * pattern is IO completions. 6298 */ 6299 if (is_per_cpu_kthread(current) && 6300 prev == smp_processor_id() && 6301 this_rq()->nr_running <= 1) { 6302 return prev; 6303 } 6304 6305 /* Check a recently used CPU as a potential idle candidate: */ 6306 recent_used_cpu = p->recent_used_cpu; 6307 if (recent_used_cpu != prev && 6308 recent_used_cpu != target && 6309 cpus_share_cache(recent_used_cpu, target) && 6310 (available_idle_cpu(recent_used_cpu) || sched_idle_cpu(recent_used_cpu)) && 6311 cpumask_test_cpu(p->recent_used_cpu, p->cpus_ptr) && 6312 asym_fits_capacity(task_util, recent_used_cpu)) { 6313 /* 6314 * Replace recent_used_cpu with prev as it is a potential 6315 * candidate for the next wake: 6316 */ 6317 p->recent_used_cpu = prev; 6318 return recent_used_cpu; 6319 } 6320 6321 /* 6322 * For asymmetric CPU capacity systems, our domain of interest is 6323 * sd_asym_cpucapacity rather than sd_llc. 6324 */ 6325 if (static_branch_unlikely(&sched_asym_cpucapacity)) { 6326 sd = rcu_dereference(per_cpu(sd_asym_cpucapacity, target)); 6327 /* 6328 * On an asymmetric CPU capacity system where an exclusive 6329 * cpuset defines a symmetric island (i.e. one unique 6330 * capacity_orig value through the cpuset), the key will be set 6331 * but the CPUs within that cpuset will not have a domain with 6332 * SD_ASYM_CPUCAPACITY. These should follow the usual symmetric 6333 * capacity path. 6334 */ 6335 if (sd) { 6336 i = select_idle_capacity(p, sd, target); 6337 return ((unsigned)i < nr_cpumask_bits) ? i : target; 6338 } 6339 } 6340 6341 sd = rcu_dereference(per_cpu(sd_llc, target)); 6342 if (!sd) 6343 return target; 6344 > 6345 if (static_branch_likely(&sched_smt_present)) { 6346 has_idle_core = test_idle_cores(target, false); 6347 6348 if (!has_idle_core && cpus_share_cache(prev, target)) { 6349 i = select_idle_smt(p, sd, prev); 6350 if ((unsigned int)i < nr_cpumask_bits) 6351 return i; 6352 } 6353 } 6354 6355 i = select_idle_cpu(p, sd, has_idle_core, target); 6356 if ((unsigned)i < nr_cpumask_bits) 6357 return i; 6358 6359 return target; 6360 } 6361 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --7AUc2qLy4jB3hD7Z Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICEBZcGAAAy5jb25maWcAjDzbctu4ku/nK1QzVVvnPGRiyZcku+UHkAQlRCTBAKAk+4Wl yEpGO47klZ2Zyd9vN8ALAILOpM7xWN2Nxq3vDfnXf/06Id9fTt+2L4fd9vHxx+Tr/rg/b1/2 D5Mvh8f9/0wSPim4mtCEqd+AODscv//99un01/78tJtc/zad/Xbx5rybTZb783H/OIlPxy+H r9+Bw+F0/Nev/4p5kbJ5Hcf1igrJeFErulG3v+wet8evkz/352egm0wvf7v47WLy76+Hl/9+ +xZ+fjucz6fz28fHP7/VT+fT/+53L5OHh6vry+308v2Hzzfbd/ubhw+z6dXnq6sPD5e766sP 76efp1vE/eeXdtZ5P+3thbUUJus4I8X89kcHxI8d7fTyAv61uCwZMgEYMMmypGeRWXQuA5hx QWRNZF7PueLWrC6i5pUqKxXEsyJjBbVQvJBKVLHiQvZQJj7Vay6WPSSqWJYoltNakSijteTC mkAtBCWwlSLl8ANIJA6Fa/t1Mtdy8Dh53r98f+ovkhVM1bRY1UTAllnO1O3lDMi7ZeUlg2kU lWpyeJ4cTy/IoTsjHpOsPaRffunH2YiaVIoHBuut1JJkCoc2wAVZ0XpJRUGzen7Pyn5vNia7 z8kYBu+jW4fFKbACl5s/CFgFxiQ0JVWm9MFZ627BCy5VQXJ6+8u/j6fj/j/Wmcg7uWJlHOC5 Jipe1J8qWlF7HbHgUtY5zbm4q4lSJF7Ygzu6StKMRQG++mCIAN6kAn2HBcCtZK1EgHBNnr9/ fv7x/LL/1kvEnBZUsFjLnlzwdX/OPqbO6IpmYXzO5oIoFIsgOl7YV4uQhOeEFSFYvWBU4C7u XGzKRUyTRuaZrf2yJEJSJLKP054/oVE1T6V7nPvjw+T0xTsXf/Va91b9UXroGCR/CcdSKEuN 9RWg5isWL+tIcJLERKpXR79KlnNZV2VCFG0vUx2+ge0N3aeekxcUbsxiVfB6cY/qnesr6g4J gCXMwRMWElQziiWZI6cGmlZZFhgC/0EPUStB4qVzSz7GXOiAcUiu2XxRCyr1ZWh72V3e4Bx6 bqWgNC8VcC1ogGmLXvGsKhQRd/ZKGuQrw2IOo9rbiMvqrdo+/zF5geVMtrC055fty/Nku9ud vh9fDsev/f2smIDRZVWTWPMwZ9TNrK/PRQeNQIBNXYAGrkJ7DRGDcLn6pSXdWZRtVmS8AOUj q3mjZq1RlwkcCY8pWC4Yq+yt+Lh6dRncSilZUDH/walaxhN2xyTPtBGy2ekLEnE1kQFdgcus AdfvBz7UdAMqYemOdCj0GA8EflfqoY3GBlADUJXQEBy1I7AmqcD89PprYQoK9yLpPI4yZhsP xKWkgJjk9uZqCARjTtLb6U1/ggYn1aga6tl4HOFZOyLrLrzWMUkeBe/UvYieB1uaXwLTsuUC GFI7Tso4hhMpeCWWqtvpOxuOgpCTjY2f9crLCrWEGCSlPo9LIyhy9/v+4fvj/jz5st++fD/v nzW4WX0A68V6wH86e28ZvbngVSnt4wIHH4f2aUiNovUMUsJE7WJ6mU/BbZAiWbNEhUMFUHtr 7PikJUucNTZgkeRkfFAKmnBPhbXZEkITJV1DymPk3uCCi2zYJXTF4pD1avDAobEw3tqpSANr j8p0nJeOBxzXAzEchBFgq8JLXNB4WXK4XfRDELSH1tmYSIh+9SQ2e4gf4K4SCt4jBi8euglB M2JFPFG2xBPRcaew5EF/Jjlwk7xC/2mH4SIZhL42LgLcbAyJUfEYbhM0B4kffWvIVZj0Xipr FxHn6ELxdydd4iV4IXZPMTbQF8tFTgo3SvDJJPwyFgxDwpGgNYo5WFuIn0hNMekp2lC1T2Be IwxlQknNRbkgBQTzwrLIGCiqDFxITEul02U0i9bGy7T/4DuaHDIKBmpiqZScU5WDfa0HEagR qR7cbSWFVUHEFna1XLJNE0YFgxu0j/0cjb0scub49SockkQEgnA/LOyXVUH0F8TQkgdDScnm BclSS2z0wlPHBuroOQ0plFyApbVJCQsleIzXlfCCMJKsGOylOdzQSQHriAjB7LtaIu1dLoeQ 2rm5DqoPDPUewzZHRobXjWKRa+EUQCxcajArGWQP9haQXqeowbPpMpR+HzXOF0FoHkpkLDJ5 V0BGAhbQ2lCcO9YOkrFPgUmBB00S27lpHUU1r7sUqhfVeHpxNQjkmjJVuT9/OZ2/bY+7/YT+ uT9CVEjARccYF0I+0Ed4PvPGkf9DNl38nBseJup3QhGsmBAF2dvSsfcZiYKyLrMqlLnLjEeW asNoOHIxp22dwcItqjTN4NQIYOHGOPgTLjyXm7LMyxu64BWskfZjznG4xaLu7Mr45qpNccrz abd/fj6dIdd6ejqdX0zi01GiSV9eyvomZP87PK01x0GODr49JDDX1xcXfrRJbxpgaHsEzsxk OjCdpT39AizrC3xcCoTksQtLSwxo53IAtUI0maFsa1lzwnMbYQToNZy3IFwu9WaFMf4uSoVn GjGLdbm4kx2st2kZWplQlo+s8xxje1D1RejQEO2IGFBr/xMS5dyq9BRCB35YY7SYJpyLiDZe qxHBoXxZUWUd4X0VCSPW6Xq7Nku0DVeeEwhhC4h7mJKYE1jLCBGw4nb6PkzQannLqE85XqFD flM3iabKBKwmGYdEyToqzONalDaVdcoEpGPxoiqWI3TaCoTJBCbq8va6z37AjdesZJYtUWDu Td4mq7J0S8saDCzSjMzlEI+VK4hnh4hWpRdryuYL5YiTJ1uNRym4LKmFo0Rkd8NYhBRNOQ5T 2un7C7dqTULFGhOR85wpSFYgwq+16bO9p7k+cte4ItCxxFtllUTzenoDpsgaheVVPbaHtRXh iuVwKb4PZREVJpjEGEyyKPNJmoPEQp/gEfUMDkQkJmkJGKMex0gsb2dhXPIabgW4C0dFydo6 pXtegCuya/Dl3PQjdElY3nYFBjRRGBwUYIZFXOad+3jcvqCrtbxHd0c8b+uzrnmUPA5ZwU8U rE9jKy0RMHM20hf0vUtw4/PK62xYUSgpIecggmC1LBw9w+w8NckLJmEQt7JwbREIwQ5CQL8B +XN0Li91eaivBpSNVIvglBqdy7kYRELoAdPz/v++74+7H5Pn3fbRlBmdihik6J9cvn1tLTC6 ZcweHveTh/Phz/0ZQN10CPZnYINUw5rBDLAgNuP2RD7Rel4y7liQWqjY8Q6++NjB4OkJm5VW 0Le4r6eueABkdn0RPGFAXV6MooDPReCCF/e3075BaMzMQmDt1rlbohZgyqthUbI1ojAKs06p qgjib6XtST89V2VWzf1YxxFH3UQCBiUr0CKHHLK2LrTQ6to0lxrOngUa0Aj4zU5MlnRDHeHV APA/WUgJMCeBPRHH1FlA3WS0AmkBwUedVLnXKNJ1T4whetdW2ZaogKRINlW8zntD9oM+EgUU qTURiKqXeZidZlif1lx8i0wzGqv2PDD5ynwK3XgCgubsnOy8t+iLCqLSLLLtG8syOidZ65Dq Fckqenvx9/XDfvvweb//cmH+2Rblaqn9vWf9dQjgFzqbxnAD7qyzLmz4tLoNo0umaOa5SMA/ Ti+tlEVLt8xDDjbOE93X7hujdAOWsQnEpQXXrqD7vSvA9RDwRljpSQKoOLPigPUnOLQ1HBlN UxYzDJz7JMlP8FrT0B27JOjHaqJNsjYi0ffnoQXpeoeG3j1xBoGoQMkoYzbwWC5gQJFFjl2z J+8FuoDADGxJ05i2QyC4ap6mEEaCqOwu3H+9lup2NvAQr5FhlsAg5+8IBwSw1YxFtQAT5aT3 6B8rkrH7cK+lTSa3593vh5f9Duvkbx72T7BlyLCHZ20U36soaMPiwj6CaaghM6ZOtas7KlQ4 mqUjLxe0vvcSUxWw/nmB5doY+1OeXqP5wOcKihV1JNfEf5bAYGEY8kOkpjzU0o/eDFRQFUTw Mgxv2NQQL6ZeCVHj06qIdTRJheAQ6hcfaey23zWZqdzZEL0/zXEBodUwbMewBX16Y0ICtSCw F4qld2392WMvc7SUzVMQf1cYu9akSEzm0Zx9o4wOnaSfPJBVyAnsakFEgv5Pl/YVxWc1bV9g wMQNoHs4VsyahbleqD83RwT7vLOeg6OHwcatYVskiMbe2E9IjDFn935ysCYgtJjPofrDuUEq TxSm5YP7MZduWlxxXm7ihe/m15Qs0Q9TrD6S+FPFRHg67VzwYUX74idwIpLGmH29gsLwwKRc vc4aTCggUlz36z1+8eijAo0Ot9R/QuE2wI1a/7QLDqLden4as9Tu9AKqglBC2w6wQ7quG+BP N5A5gt7qRzUobB6N5KlCHJDwdeGTdEqoZwBN4rkjLP3pO7WN1wojVs2jH12sIL0B42QXOjNM ArFAvAZlsxAcX3WxuazgTArLYDS1kMsZzKKPNbANXaqCO3d8LCqyXW/1l6+lc9CAMb4n5qs3 n7fP+4fJHyYCeDqfvhwenRcYSDTwrd2SNNbUUGnttVZ8XDDxeXUNfsX1J06yC5shDMX+ie0n dPdA5rjEqZVzGDEMtSwaAdUPGDIw/m6LMsJjD6UPspj2k1aFecmoMw74hIPGChlEgXTGtcit N2V6F2awkXC7GCPWEEyPIbVUjOD6PkXO+NqqpPufO8ICmYBdy0hZojEgSSLQF+kesBWydS1u LV707/3u+8v2MySx+Lp2opsHL1YsE7EizRVqp1XOytImkOnP2pDJWLDgI6MGnzPppFvIBl1T UOzG1qYXnu+/nc4/Jvn2uP26/xYMw17NdvpEJycFxH4BjFeh1L3MEtTEy6yslGmDCSYNoVbw A23UIKvyKfyoCJ+vzKvSu/AlpaVuYTXSaj/FsNLhUAGxzMB4lUoLn85CrxzzFvt9ZO3ABUUF CHdgAg8ltRFEAaxVoKgNBwjhlttolNZpt3VHfWA5qAdyur26+GA97YnB2RcxgUQu/Loh+Mrj vjQtlI7sPqpCvcT7y5TbD6nvtU3ijuS2MB2uB3i00acp/Tbhtc0AdgmRLuah+tW0OWd8CxHc kA5gNUkbMYRSghykmWH47FygqRrgOsNPQUC8xp5H925NURMhEKfHMa6F1kMUOp6+YKv3I+te HSb7Pw+7/STR5TS7/GVK2VaM7H9oXtpKFzjoOQNQS3JUOZ3Zti6FY5AkXJwCBHGLmjZGlk5r voW10vzKMJP9S7KiQQamNgA+yNCMr00T9y9MRmasy3wwD1xvPsa3zt3HjC7GSEg6bLQjHgNx HzZ4p6TvSQV7yIgiymNAY+IfNKjXanT5pRhbfkkkSwZHAaJRq6rQZYnRs9ZUgZsdEmHa8jrF P7gyQ0bFDH9YHqIX2yAQ7HvMxuRcLtyX/KapEbPJ7nR8OZ8e8U3gg6+IODBV8HPqdJoBil8b GLzm7BCDV6R6Wxts6m965X8+fD2ut+e9XkZ8gl+k1ZlvTM5rZCYyOH2GVR8eEb0fZfMKlWkI bCFs3e0Nuj+S52G7R28lJgkt7DjLhuozGEHRcgRRZkQNhNNGaq5jEuMQenPUH9/NpjQAatfp 6I/B0HCI9vNT6vodYcnqpI4eH55Oh6N7rtgh1/Vkf1EtvHlx538PwqYED+M7twFBocJve52F dUt9/uvwsvv9p3oi1/A/puKFom7n51UWVgyzyVDxgzccE/sFZRnn4Jj9zzU+oKpjZme8MMy4 vmYzb3bb88Pk8/nw8HVvLf8OMlXnC0UaUPNZYDEGBcrNrdaxASrmQ8AMaOM6oORywSJ7C8nN u9mH/jN7P7v4MLO3iHvpK8tWykVKltjNtwZQK8lAlIfwBHKSrgt/aTXhW4KmiyQ2tdrUOhEM 9YZabjnucm6+Gjdgpb3fK6NpUeWYBrsd1RYbL8BLvDI6x8XVcUJX7Q2L7dPhgfGJNPLWy+mA N5zO9bvwa8Zu+lLWm80r8yOPm/fBlcNQ8AEh+WlJxEaTXNqqMrL8vih/2DXB4oR32V//YNBU XBY0K0d60XBSKi9HrAcIVpGQzPuujf2FGs0+ZSJfE2HK68nAo6aH87e/0Fk9nsBWnnsdS9da QW1/3oF0pJ/gY34r6dZtqHY2qw/Vj9L1XrNd+xKCBF3MFn7a2g3BpBDrCEH76G+uXZKuZ+Fb 7za/t5eDadPawQa/pKhfcXgvQxsoXQnqxO8Gjma+GVKbRm/Idub1Jy7rZYVfG3X7tQbWMCj9 bq71sE+/iNftjDB6VWXwgUQQ3ihmlwoEnTspvvlcs1k8gEm7hdDB8iFwPR2AsEY0nMT+klPL kFf4XQtBh9SX1pLQpskFEUYkU1e6EJnqWEP3YMIFxLCudt3KB533Ocqb840KJo6S5ViEgXv0 krh8wXx/6XQl20msxLeQwbKiftdvPOT2/HLAxU6etudnx8UDFSQ/77ChYKcoCG56yB2qXyIg eWrg4ccxQADHrN/jBKjaCGKwKr3YCn6FuBa/zmNe/arz9vj8qL/4Psm2PwbL57wcLA9nZVjN wYoXkYoO3+kIkr8VPH+bPm6fIYb5/fA0DID0MaTM5/6RJjTWmhM+d/1SptUsZyQw08+7uP4S wsi11Si6ESmWtf4CUT1178XDzl7FXnl3CvOzaQA2C8AKRTP8owIDDMkT51sjLRx8DRlCK8Uy FypI7gG4ByCRpIXzcOCV6zL50vbp6XD82gKxzGqotjt8v+rdKUft2+BhYZXZE3ys+3llLgs8 /qrRJuLp2HBs2kGsF3yaY9PNac6Kgeh12BKCDawojnGJh0N1PD2qsPq66xU++xxlCmmYaOoW bQL6k2M3X97bP355g1nC9nDcP0yAVWPGwhpX5vH1tSekBoZfcUnZJogalGQQhw9r0ozIxZim xYtydrmcXd+4PKVUs2tPamU2kNtyMQDB/30YtuwUV/ikA5uCugTsYsHNyqa/PJ29bwoJh+c/ 3vDjmxhPc1BSdHfJ4/ll0Mb+/OQ1rwJiRPcOEOK989C2tqCIGXgDA0bZxhcIa8HUmHi3pH0t JciJq1A8ZVPMNmhi50NbQtZ1s8YmefjrLTiYLeSnj3qjky/GhPR5fmDrCcWXKC5nC+EWq3xk ogK4mKQ0ANbfNzCvj0IoloYw+WZ4cuZUy+B3qTo8ajCW6YLr82o/HYaAdJIiOJ8xGtk8H7jX /PC8c89V5oPKWscHf0BIFMB4KXl/1EwueeH+/YoA0rjh7hHbP6PVLcf+3fU4Kf4BhNdZRpHS 2uCZkpI5MkrjGDT2K+josDDXcQWiwFwAxRrNgkC4bD+LGCGAWwhLTkMW+X/bpO1iBlbY4rT1 0PvISvRI/2X+O5uAx5l8M72VoKHXZO6SP+m/mdPHTs0UP2c8OF63fWSB9UuQqyW+dsG/8jPq EFtyuS7xRrF6MqJaAUpshq/0Xz3IBkGgTY4t0BGuVeSZGADU60w/AJMLbO15nkQTRDRq/n7Q 7MKdFrHYiIXwYXTPSDPPKhqFug1IsLiDrDuyX/0myhJLN+yBJAGT0ZGuHGDBNSvlvLkCoOk1 BlFLHn10AMldQXLmLKDTXxvmpI0cHwFJKlaYHNgNcoPg2cqd1bxHuHMnhnyx7fCCgaLC+RKZ ec2DX7Ppvr8CGYn7fZweYDWpNagO/nGiFkk279+/+3AzYFRD5HA1hBaYg8WtoSlWOQ31ERx4 Z7+tjLbdWHI9u97USWm/r7SAbhHARjiVgKTK8zv3UvDJkLLTAMXS3ItANOjdZmPFhiyWHy5n 8urCgoEby7isBH6vS+DfLvh/zq6syW0cSf+Veux+6G3ex8M+UCAlsU1IKIGSWH5R1Ng1Y8fa Lke5POv594sEeOBIsDo2wg5b+SVxH5mJRMI8JWW3tsM2yYrVvCyCqOoM/pZ3URkEMfKFgiLt DEloLVysKbdeIOpmkuZcp6DNPsxz7O7CxCDLUQaalLunJItTTUWreZgV2m+YKy0cwxAWL9f3 l6yFkOQ5PZyPIEwzkTrTuvF6q18AA7+Xm1DnB2PQXuQNMMwJPRoHuNrjGrGqU+yWqkJuVR9h d1QXNNWzHcngrU8e/J/RasiKPNUGh6KXMRkyJL0yHoYk86cnlOpbUe5ZwwcnzaYJgyDRty2r ztqpyCYPAzm6HcGpf/r1+OOu/fbj9eXnV3n1+cenxxchvL+CHQTSufsC2/BHMUE/f4f/6hP5 //H1PP7BHbQCJZ6ZznXN4XqPW48bskfFTRgnVUfA2deQk6fxY531VpvqUN2q1lAs9fVn4QRv zXqOtsUJbyeFBrnAxlvwl9JTxT6Y+Ldn05lW/ZYXMPhOKWaLZVlh3XG3s5xYVEi3pmnuwrhM 7n7bfn55uoq/v2Mjf9ueGjBcIm04QXAL80Gvwmra2m5eETGtj3B1R5qCuVvIb99/vrqttyx8 B3buna/2jy8fpbG8/fN4B58Y2iiHmGU+DxxzQ5SsxjirqPRqQeVPLNu5RbCKqFKJsf/44RUO Jl3bbN9j6wYUS2jqYNg3xBx57dW0GXdMhos8onIhY+oAa2pMRtubCgBysqjycBsMFcauIxF5 tVYe0ODuVMCkwvNITey0rVDvC8nHWytfztutk6UMgVgf8UAiqlDgyOPzKhEcm79Tov119JLW VoGJpG5dtkcrSsiCb6okDtcSlW7l+uHBghDSnwzv8RkZWibEOM1+WTHWCeVzuSqr7GcfkDE1 reoVBGY63JJA9ytZqIkuKZBTlAz6xPamb5z0iVbxHQK+s7ARkT7jeksKVnuezevrYSdDKqk+ 0CQvIv4yvLd0suSDMLCm3KaoLpsSCpcZuZBv5OS5FzoxCUnTYUJYqp6aF5N0UCib7aEx70qh jIfz5dijV0WBa8pDI116cGM7HYcHpNZ9HL9nUeJHTDHaQa1mE8Ja9+A7M3KXQP1cW/Xg6cx7 eXtanZa6O0VE3O3VKCK00eYoBjqo7yZZmcuNhQaocDOouWCLlUDpefanoj+/vApB5emXqAGU Q5pDsd0K+vq0UYZxkXrXNYcdLrWMOfiMZQusimGRu54kcZC5ACNVmSahD/hlN4GE2oNYkLAg SxPHqdmZKdaN9qGbGe0GwjpD6FltQv378UwdzoXNhDk19kLZ1t3uaLhET0RR26nvILN544bD y6XfxhX1TqQs6J+ef7yueiKpxNswjVO7GSU5Q9WzCR1iq5i0ztPMSYjWRRhiG4tcKgqpYhpf CHEWO1gAiLXtkNj8B3mlF3MfkeilrdtKDLuz1fgtT9PSqbcgZzG2+o1gmVmD96I7V40EsULp naXCP979A86ZxwOd376Kvvnyn7unr/94+vhRKBJ/jlx/PH/7A056frdnIQE/z5W5VTcQQEw6 m5jbhAXyrrr4Uc2SbeSusxDMigVMDW0ukf2lXWQDfNdQ1mFe9nLeMWIndoSqYee7cnCQCrHE A3J6Fw9279O+sVZa0+O0+SVW92+PX6AH/1Tz6fHj4/dX3zxaDE/y8+PrJ7UujN9qna8rlt65 bBS2s9y/Z+KoI3vbVzGBEeLsvTwgexdcZGy92WGAdcgdGID4tkl9i5vT071HSH3gQBndCQx5 6qoBuBPWhbzFQlsh9ADPHh211pYPEpLPCw+wuZA6rZlFWfHzjj7+gCFCllUXOV2E75RdwJNR NbTy39lZUMPE9rCpzAB+knzuQTHoUO0LJD/7IEpVdprWFv1q3lEcaYZ9YaSZ/kTSCD+w27Zr BqRxPesXQB3Ng1vXMfsTGWiAeTpPnfMZRlCgHsFn8/BgEtlQRcOA0exjfUBOR/IOjpo8+XIS FmKnCCIzPaH7GbEN5QAZdEs6UAY4sLNI09qj0d4/HO4pu+3unfqJPdUYc5okgshwshDnwZE/ 4VP28vz6/OH5yzhunVEq/uLyJIB912TRENhNJxcdzyfOyYLptrbn5g9D+lWGEt5aZ8wL+ctn MM3pVYAkQCZGLQlm/EXG3amvxCnGp6QR/34Gj3PIIAvvJuXOSHMEx90BL8fENMYFmnMdHzd5 fnFFvJ6JMj1/+B8baL7JK5Fs/wBvJkAQ8UPTwxsb4OIi1U/eVxS8c+5en0Uxnu7EPiU2to/S ZUzsdjLVH/+l71FuZnPZbXF5cnQcgdscDnr5wJD+NX6QsqcwD+YX8D88CwNQO5FTpKkoFY/z KELoA4uC0qXXVRlkCD8lLIp5UJiamoMac9ZGXYSLHjGPNGdkCNMA972eWXq6XedgVSf2Lmz0 jQxH0nTHHstfzFaxFsKhO7dXb+UIIgbpj8cfd98/f/vw+vIFE3J8LG5mncjpUO3wCTsVCJTp ym1CwpO8KzVbEBRXzAKHII9rGQSrUie6WszA49YOzjV+0p7uTacINdpG5sXYCmqyEyrShAm+ oErMuQolqbQa8jhYdHd1RP/18ft3oTjITkF89+WXeSJ2N9ihfRkqKcSpwigs+CtRXyuG3cqT 4LaHf4LQ6otl6jpCuoJPbtvf9t21dorXHXctueBh71SLbYqM59h1BAU3h/dhlNvNzEgxDIPb nxWt0joSA+24wcKwKqZp57e+bY/4zJxGCkHNXxK1ZQLVYbS+bcfAaeY9W2w8zCqopD79+i52 BENzGR0eWZoWhZ2TojrvzCjsgHs7qI4UkiKq1WmjOXDSlPRopbWkwSf2dqqEc3vMMbIt0txu xZ61JCrCQG9GpJnUdNvWf6P5Ijvj6tS+Px7cqbWp87CICl8tNrWoREivF+dD2JBSzMqxoKnz kVfBVvOIFXlst828vlqt72whJt4znqVBkb3BEYXeqku8yNwJKIEyxA3XOgce7V9xXLskiNeS uHZZkGCWHwmfySZMAruTr7SIQ7fAglyWiZnXNFnd0TTfHVwdZZu+GOyukteb4X5UmLlIoyDd IC6hU03iKLTOSJzMZw1htVBifwkzOwMxkeOwRJpFzfxwZdkmcVwUK53EWn7kmHCgFsxTJfrI uCSG1EDW7PL55fWnEHet3dOYwLvdqdnZ4cZVOWXsLbR/0YSndOV1HJl/+Mf/fh4tPovmNXON hgaIqHk6ap2+IDWPEt1VRUfCq2G+WyCP9r0w8J3hLIAUUi88//L47yez3KO9ad/om/tM54Zb 2EyGugSpDyi8gHx5Z2MEjDI4wtj3aWa1zwJFmMVb5yi8JY0DHxD6AF8B4/hGTsQHelokDQYc yAtPyfLCU7KiCRIfEubIEBmHgibQy7gU4A+I6rxT1ArWme+QaXRXG8fZ9leKilCsrhSjqzpW NUTjBnOZZiISi1NRRqn9jVrhZSAwPdDOSLaY5SXDiTYXd8zqVhSMFplHlwMrxQ5OiYQwEWT4 GjklVJG+KJMUv3QyMZFrFIQp0jATAwyALMAKqsbMG5/qY8egRy6db/R75mNNDSKthNpnE6fP N/dRPuibnwWYqrgN7ut7P1j340uD/Ha4UKRGUuhyCy/ooR4iXeM36NK6MLhjAuhCtt6e4fnO 6uw5Up1SFWMzzHHhxGJBGl8iasO3KiGH/LhfWtCauDTxgPQY5ZiHosagqxUT3daal/LIQbCW Yh9naYh9C+fHYRahbzQu1Q2TNM+R3pyCaEqWTL+2NLGIAZOEKdKIEtDNDjoQpUhuAORxigKp L4+0KAOs3gCVHpFJ58mG9XWH002crHWmku9LZMzL8QsdEJVJiK0nu2NXb1uOv9k2pX/qxZKG rVcTw5nwMAiQuShUprJMtQ3rdEj7LCzs1VnuFNbP28WM8qOI43mYZf5Xrt6Pr0Kmc0XG2c24 zuNQK4tGT7x0IyzCgtAwiPCdwORJ/wYPrpeZPOWa+zRw6JKMDoR57qlBGaGr1sLR50OIeHoD EIeopzdASfhWqkmIllUAulHXAHJ/dvkbTbzv1wvEY0/inORZhDlHzBwDXC85yJiwJzNA3ZII a8w39lyWfmBrudQ8i9ACgkv8avnUBgkilduqrk1iQtr03a2i6NNQI8c2T+M85djHO465xU8o JWGcF/FYIufjbS80nXMPO/5KIrsuDQs97KAGRAEKCFmqQksrOni1b5TJtMK95SamfbvPQtQv ZW7SDa0apGCCzpoBoYNx9Wq9jzyBf5FkvdBiaT2FUbRWIIhyYDwNMwOTkR/LWW0j2D5gcqAL zgiBPPh2AuYRjQGW6FxQEGaB0ziEkIAsPABEYeoBImRFkkDi+yJDlkwFIJmDUBOGIVYlgEwR DmXJgmytRyRLWPoyyDLM5KdzlGhvSjtSHq01uGKJkdaAGypZ5Kt0lsVrm53kSCLvx6h7rMFR 5miRRGHxsUUJi4PVhbYnWZpgnwrBLIoLj8o4p98ctlG4ocTVl13eUy4WOcwQsuyJxDwnmccg RV0GFzjHBi7NY5SKjX6KixqCvjbIOlqgGRdoxgWacYF0aUdLNN0Sm9G0RHMr0yhGBEMJJNha IgGkiIeeKNNby5XR0sZJL9R6pGQAlAFShgMjNB+QzUOeqpRa4Zjpyjrz4WSQGaMs8wBYv2+E nsy2yGYitrcb2W4ZKim0B87Op1vLOPOE8ZoYT3EarU4/wVEEGToB2xPjaeKxa89MvMsKIZms DtIoDbBWkRtPXngB8GaGV5ewThcscYHtPOO6jtZIrdrBWnsIlijwrbwCwXZBtQBiswuQJEnw 1IqsQOpOmag6KlwymuVZ0mN2hJllaMSOha7E92nC/wqDolrbd8SamwQJtm8LJI2zvHSRM6lL 4waLDkQBWpihZk24ugO+77IQS5RdKQiVWKJ806NRe2dcaDNIHwlyhHSqIMe/UDLBuF2v6wlq hOSeBPHqLBI8Ubi6NQmODCyfaMUpJ0lOw3JdtuV9z8X4XWshSoUQgC1fJIyKugiR8VrVPC8i j6YvoHxVCxS1KnBppj1UUbAmzAADvlsLJI7esDD0JMeuD8/wnpIUGX49ZWGAClASWetByYC2 k0CS1UUJGLAxKuhpGGNJXtoqKzLckj7z9EUUr7fStYjzPEbdhjWOIqzdsgFQeoHIByCihKQj o1LRYTUwPeM0vBOrco9s1ArK9Kt9MzQdfY90KXlU5p0wRVKPVvG+JZjKPTE18gXoA3mYr0Le 6qarHm5UixkzMTuK6wQctytZQMgY9RTfqTUFholjij2xO15EqRt2u7YcN81jX2yr9qRiIa4U Qv9AvcFkvsEx8ZkJYoX1FhLhA4/x2+g2jsBGQZyM1t50nHhMN3DlPKmNiZGun8A54HRJ1qXc 7BdFZuBwvFYPxzN+tWHmUjeE1UumKmAv5hIzsx9Zc5iD/gYOLP37/ns8yL8+vn749PH5X3fs 5en189en55+vd7vnfz+9fHs2zvSnj9mpGVOGhkeqajKI6Ya0kM10OB7Z21wM7j2jragx6sMT kl1rJ89nUz5m+/hjrcEbUOgNaW0wpREyPJR90QNksQ7MmY0jc/VCtvLh8RdoUaaxHMC5MMjK tQTG02O34GOAECzZ9217gkP41ZJLDs7W8p6Cv6ONc30j+fFgZSX58eAQqRvYReIBqzXvGW1J iCBV19I8DASkB39rszgIGr4ZqXPxlLMbULGDUnha2UxnJs3Dd470XWh9fauiqQCTq9b44NU8 uMnjy0czwjsjWAOLVPDrc1zURnspe5kbHDOSbwitUPaN9bbNctf3nz+/fZCxXr0hIrdOZMJt PbsaGAMc6DzO0UudE2i42lO55E9ekmZCVR8VuRu0xWSCm+DyThHxXHZbuPYdqTHrL3CI5knL QDdoSKrmcqknJ4/uMZrpbwB012dyoXqs0RqDdVFK9gQ4s4f4qdOMx2/gBWa0ndHS6QtFxpUj 2YeweKIOuDOaRnai4+qNX+HSGJw2nU+PLJp+fjfTYodmuGEAbVf1DdyEkQdIVveRMB7sYTES zWMCHVAlNnucRRl6jArgvs2EdiLbaklQqMnyrRkSmzSRONOfmergJV6yNwncfEEbMlGhIxnF JSLJcc8zj5s1wH9Vh/c3Qo81HvJScKhl1s5Yejd5XhZfcN+InHyj7Gk1e2xYE2vI8yzyZ6YY UDP9AhcZnm6JaaczXCSxU8iiDHKEGKUIscRqI8iY+VqifRZnzlQFaokZEyU4ySf6V817GTLB E6QQZv8qKkQ9/Fl2ABnZpmIOYu02+k0jW4vuh6yT+zSIcSuQhEnap8UK/q4IfE05ii9mMfjy 8rKREG+TPBvW9yVOU9QeIbF3D4UYvMZ6WG2GNHhjr+M9ZWhETMDkfRGz/D1cB43jdLj1nFiH 3oB3LC4T34i2PbTGBDt6NmnK+V/THRnPwkB3VVLuQaZJVdHQazgyo/HGgJX94mdk1GO8PeAb 81Dq6TaD+Z0CUvQEU0vYboXlMoJNLcMApTpb30RfkQBmFmeXEYhYTnWPm0m0xkbrhFVnfN0e bzeg3167MMpj3/V/OUxonMaxkyeJ06L07yT9PR0KLOgfgJehsDd33S9Al7nmizQu0ZUaJsBp Tync6JchZNVpapkpJyrqz6NAbA2X1MLbFAJOgpUUDUvaQnOrN9IRiRGQNFgZaupSirUGH/dU 3Uga3IV4xIRw5l1Q588je1VVKp1NpFutnpOyio1JJcbQMLiJbcxsVj38jk+rmbPQDsYWLXYi +l9cmjm27dDUEHK4N1xZFgaIiXauOhmy7mwE91p4wLomjWurXEIE2hkLjgGBdJRjGGhoRZbi FVz1FNfY6jRGBRCNZZxXXX0MPXmNHKLfwTV/PTVLQ9SQSetCcpjUtzdqg9yw83HhL1ZpPI5m qA0eR92xMGzDMVkytAlmhQZPOETPqQ2WyNyHLWz98211SONUX5strCg8iXuuFy0MSgHCElbI JdXPkxe05V0ZB2iJ4Fg9ysMKw8SulcWeoYReNMf4hPSEnsxZLGhHSgd5dEK7ooqJvTF2bLFN Q9Sm7IOyPMMg1zPexFJTVTLAIkswhdfiydCOdVQnC4o8y5oEU9xQYXGhSpLBM2mCHqz0zESl DAboq3UWU4QnP5oRTM3IxHPdQcmEihIdc5SwUMjPOMbSJMTLwooiLT0VFVj21ppL2X1eehRy jUtorW8sP5IFnequIrxg3vgWGgupxE7o+35bDKh8prOc3zeGq4WGXcSi6C0bgOh1Koun9CVw xeKPLvg9OVL3+TcdPPPN7WJ4Yi0Mp4qzTXM6PUBAn+OZ7Dk5NWD07s0QStoXsxqNFPbUJwWq E+ss9BJ56sojyiqPK5XJxcM3uVJa5Nn6/Ne0dBfrdkI7wHvckW81SKQYZOiOJKBChafFofyA QeBSFGYxWkZXETexKMZXXqVlR561bUVxt5nwpdO9LGRhob86oy7uK5Zovzf6fVLd3y596ZOT sHgCGNOkoWNJrNyg09QHO04pwqN0vtWi2LqdNf+7atNutEA4ZLF5aZTDsW+3rXlPkTYQPBNQ kOmdMOIGF8KhHmN9efz+6fOHH1hssmqHKQqXXQVRZ5fijQQZNX7HxEIWzi+01PpVc/FDhfyr 9VdeFiq3qDW7VedhCpurV1yi8hoYxVbfBeZNtzVfeQDsHeXLY6sWfbtBofH9UnajvBcrMTt2 x92D6Mktt8u13UAc9TWvDOCSLzyLjqmXd2HtuhM9BCbQ+t5qTAhyjZZWcKL0XUNvcDrpq7wP g+/4njZ4qpzsmznkHZg4nr59eP749HL3/HL36enL9yf1PJ52nAlfqYjIeaCHFZ7ovO2MyBUT HYIX9kJNKothBUydyDG+AskSVyfqhjWXLXIUU6fS09JZdc5TVTemy9NClQYGhjq8AlNFaxX9 1vhUUW+mJyjGQdp3qwlPuXsyEDpWr8b21n0soSLs7rfq58fPz3fkmb08w+OGzy+/Q/jMf37+ 188X+Typvl6MCd/gQ8wq9PcSnF4C/P7l8T93jXp/y87SyrC2ZoqiiT8HlL6vCUMaBCDU91ZN /nfN6dB0t9p4En61nEsOe15BDt7ePBzPl6bC4lfJeb5r7JkvZqtVNd7bVaK7ahehgrMcnaQ6 gU/JvqbWuiuR7lI7S9v9gN3gBmQjNHarQKw6SO8oozvZ47enLz/sMSNZb9Xm/xi7sh7HbWX9 Vxrn4d7kIbjaJR/gPtCSbCvW1pJsy/MidCY9k0Y600FPBzg//1RRi7kU5QEyk3F9nyiuxSJF VnXDFSblvreCkPK9KlCxCuaYosRroTZO7fDJskBXF37tD2Xn+v4moKjbCmPa4XLUCTeJidGd bcu+nKCl8kCtlpGVoDdLQ5yChYS1eocyRkleLX6aZwkbjonrd7bopuTG2KVZn5XDEU/nZIWz ZeKaU6Jd8ezh7mqFluMlmRMw10roAmJM7PQI/9u4Dr26J7jZJopsatNb4JZllaN7dyvcfIoZ lc9fk2zIO8hjkVq+JZ/Gv7GOB5YwjENlGcIoCNSs3CdZW+MR1mNibcLE8u41XcoSLFPeHSH9 g2t7weXHH4FcHxI7Io8fCG3PivYE7ZEnGylwhpAkgFvL9R/pBkV47/mhS9dQiYZkHlledMjJ pb5Arc4M885Hjm2ocYEUBKGzPmgF8sayDaOoYGWXoUd/trP88JL69Dry9kCVZ0XaD3mc4D/L E3R7ap9TeKDJWvQocRiqDs9EbBidk6pN8A+MoM7xo3Dw3Y7aw7g9AH+ztsLoNedzb1s7y/VK i2xEw6qepl6TDNROUwShLd7pIimRYxobTVVuq6HZwhhKDOsevRu2QWIHiWkCUbmpe2BkpxQo gfur1VukypJYhaEYCslwcMnM19YYGi2KmAVTdev5TrqzyAoX2Yzdy2m1g3Tu1niaHavBcy/n nU2f7hS4sB6qh/wRemZjtz25n6OxW8sNz2FyMZRoJnluZ+epgZR10ItgcLZdGP4IhW5mkRJt ziSnKtGPUu85HjvWaww/8NmxoFugS6qhy6HDX9oDeTlfoNZATSwn6kAxkCWbGJ5bdCkzM+q9 bZNDvmtO+XUyQ8Lh8tjvDWrnnGGUtarH4bxxNuvzBSi7OoVO1te15fuxEzqUbToZXZK91mTJ nrScFkSy27JvH8/vX54+Pz9s319+/6qulHigAG1sxQdoafxSjMs8V5uS5vkXRCV38GPs9zkk gxou7zaBYWNRp516k9mBRhi8NVHX1wXGVTxkNV4yS+oet//36bCNfOvsDruLTC4vuWHbAteh dVe6XkCoBlwTDnUbBasm1MIi/bPwNXeGQymLAkfpbiDcWE6vC6V7zKMQDU2yK3SHrERPgXHg QmXZlqM8ijH2si0bD5mEgaOWU8GpO2oELVx9SbT+kpD6KMdpMMfuak8dliBuy8CH1osCDenq xHZaS/zUwddYJUPnxj38ow9cbwUNJXegEprUK48FjpIoD9KTnEPfto3AeK7IDGsbSXy4Foek jnxPKTy5IJyEAztsl3fJQ3kiZE6rH3IimZAncovArHDEDKVdyc6ZMndMQv3qEq/lJq73J2W8 960m2G2VqsqaBpaSj6l46A6/vSB46CPXDxMdwHWPIzalCLiyHy4R8gweemdOkcEc5T5SNyhm SpPWTNqhmwGYb32xqwvy0PW1DSJjkFnJkk7Lju9yDo+nrDkq1Ymu2ZeIh3w62b0//fX88Ns/ X75g6BV1z223hQV0kksxVUDGd76vokjM67x9yjdTiexCAom4PQS/+U2zc9oum+ISGsOfXZbn DcxJGhBX9RVexjQgK9g+3eaZ/Eh7bem0ECDTQkBM61ZOyFXVpNm+xPjFGaM2luc3VmJUB6yA dAerjTQZRC2B5POeST74d7iJj8fLUzkBdLCZYyRTmQq8aUNYpuOuDOYfutiebPo/5qBK2kUX rE4+5JSy1wX1uQfZV1hJOdKHQFGqNX61k34ymEihMtWqzoq2o0YZQFBn8uIVEwUrTAt+JRJa O+HnCegkxyhoSppTaDTlyCDBMJ2TuzHE5hMTaLIzffgMayAkbQ/eQ2S/x4sI1BNGIAQTjASv bZc9nlIK21NC6XilkA47i0tlLMa8+66K1EsgN2CpEVPxJ95K3bLuaosHKxeRYbQAqP4eYrVF UDhfw81jer94phk6E2J0DlpX+akNjpadpZOUi4ioyQlgcZxSu8LIyGS1AL8HVxmoXGb7at9P K9CBGWXAA3q8NrIec5NdrwnGnOlitVudqyqpKluWdWBYy7XVgZmclkqTNkdNTVGH+VEhsaYY JzaRPklhtmRgv5wZ6SBV5MSntqvk4YVBtpLspKSMnnf2fef55P4/EGa3n3K5x/Oy8rBLccFe FcrA3UIN9T0l447v94naX2YU9+sMimViqC00LlRkUQv6VDybhrIitKX1L2lt8Mlo+/T5z9eX r398PPzPAw4zUzh13FWMc9a2U3zn2/sQyb2dBUsjpxN3OjhQtGCm7XfiqUgu786ubz1Kn7JR PpqL1HieUVdc5qGwSyrHK2TZeb93PNdhnpr+HNKFVCdIYEXrBpvd3qLNz6lMvmUfd6R3ECSM xrCco6orXLCDBRNn0UxqvS4vuzGOXeL41OtuFP3uww2jT2bdcNV79A3R7ofdIH5i45KnCQWq dwVuiBaFRIKiSHX1LYEh7Vp65gi384gU+Dlbi9qZVzgbw/OwSPSprilRpAOvQhOg9S9fvb2B 8+mu1bRVb9TCW89QoWFOX4q70bZJYFvUMTOhkpu4j8uSfs10D+LOW3LVxeukgu4omjkvYFOi GxZBv4DhBnMgaWBP6/Pb6Kz2Ffly7WjPnEJbnUrRdY3yQw2EjqI6LjTBkOaJLszSeONHsjwp 2BgsU0/ncEnSWha16aOmb1HesEsB9qws/HUMMbHUBsqqtsXzN0Sjz5kkSnhotBCBPOtjTESw bcuqMfipwzyPK8kBZtWB0QExgXVOm23VQi00WdkdlTpCU5MQzQ+pGYu7fACLIUu0Y0YSDetn yMpfUx67zxxAFXOnRVAdG+OELil08ZCciuKqi6eKnN026ARsRLB2JGtKxExPQJPqEJgs+jNF ffIsezixRnlFVefuIC15RSkmKCPnXmezeBOq28e8tWA5NQ5UuQNhLRlqnOWjbxjpgalExhYt upqdV9A2oD9ljzXWZCwfTnbg025Sl8pTBjb07YKVTu8RdTFF/JAiVxPg0iEsqQ1xU6WQfL+P gzRT64UldhSRvtR4TbbS0mKSeZYuzHzPV4oHQyjra0rGNzkUlcVOUWSryYLMIWSupRXjYnBw h9inznXJC32IbrtIjJW2iIYK+l2cV7oijJllG2w6DheZweEJDor+CitRYrBwuSyLW8+JbO3t rReQWx6j+up3yqhNWJMzR6uwPXeiZ0gmZ9fpGS0hpavyZBTZ+LQiLJTAcFyWkcGgAUnjQ+Xu VX5WJtmeDKa8gFJg5kWa/EpJs6qnyYoYVKRtHW1SqCu3CejVzKdla7uk0XlDtcZOW3vj0tf6 Zjgww7uCvpfAJ+akxaE5fo98+/a/Hw9f3t6/Pn9gjNyn33+HBd7L68cvL98evry8/4W7it+R 8ICPTfuLQiCIKT1lRIOpYY+LR1XoeHrTdmke9abqmWHlDceq2duOfAud98AqN/g3RLAPvMCj feFjp2RpC2tzV+m+WT9Oe1JSZeH41G3vUdf2B2V6b7K6AwtUERap62gi8VTdIvK1gvKTMeds ayzNbYNFmQ1Z5Bi1yIRSWprvZVStMsrO/ejQXXrHtdgpenAMW538wg+rqt2HyUmC4LZnlyat jvI+ob4UAW78Grs9G5p0FOhJ1ui/ip8i1+xYQLl1ghHY8i7VJoUbYfz0uPL+kdZm+4J1aW56 zznT9OUNxNXK3TcsW/40WpVpz1RrUcBhlrO1aUPGXfOkKxD5VYkfILaZa/mk51W5PxDtRplD 2lvGC/b8Q2mb5Rh9HAZ6ypQNnGmZt3RTvXaalKqzooYKpaqzxh4DdgS89FP6/4Gn6bUh4R4B pi4pZbuu6e8UfOwbF0SwFov13nPuazBmUnpznj+W8K/MMeVPdFQ2StWDYDRHt2o3Q2QevSvL VKTN1z7MyHA8lVnHI81p6wCehcRUERwdj86TDwIUfwLDJnTsTdFvcKsNP9Ud7iQHzzSdH3g+ J6sGbsFPUsXUC4vs2FS4UK06kxmzjQvuMhA/+l8OWdvlxOo5BeVR8u+zQNM0bPsWP4z3AXDG 3r0/P3///PT6/BDXJ/wmOJ4Tf/vrr7dvAvXtbzxc/5145N+ypsZy4O44axuyjIi1zLzQWp4/ wUA0zUBLQq26bp2BOsl2NJTC200ZK7J4l9GXz6QksHB3WX18pk9XzaSs6HkxT6Zicr2FTs2q xXnorUWm/SWlRVAj/PaGvhf/LcabX21zSeM4GFkncGz0m0KM2qzYk0L+YFZSFTujik9agoVn sPIcDzmcNJNk5vCWhTfdSWqkjelQb4KRg8fOKq5imxK9EDN6THZHWPDF55Y65zCT2mqH6ihP z+qEPaPj0poA+Kdx7a2IjBtRoAzM5tuNCi+u6ikEaKVbojOxrKa5dOXqosiHGTCLu4FtsyE+ pPHxfkbG/bSVAvXNqYR0ST+6OnvevIM1M11/I21XNTEnoQ/QDDfd1jMxujyeL2GBsQKlu1sZ 0qPLEZiuYTH1bU1/ErO3y6sqGabbkStvadKOZeU89XdpvzZ2Wt6JRv3QFS+f39+eX58/f7y/ fcON6Ba/Bz0A7+FJVBySevjxp9R3T/55SWUxYdxswCYqePRDquATk4/alYL23a7eM4NmwsN3 o90zVwbv60RgQtE2IfYUR6OBnYZTl+UGk4KdYD2uuTEzExVrjCaGxuX4jdLbdGbtMFhB1KME Gm62FmdaaFnE+nLCbDuCddXdEnKeIRTZTDt6tuURJQG5EhXyhni+eZdjovjGpcNECGyXfGvg OZTcd6OAlPvqdxguz2NfOtwwA9vEiWgAlh9xpcvj1vVzl2yJETKEC5E4K3vVC8cQ31HimDY3 Robn5J4howD59t3Rw3khGRlDYLhEb0G5FI5EkIfaqnVBfixL4b3hgqS+J7rBBJhGI8CuIaSh wPCIcc7lG0ruu7lrEQBGJHJ6HeCrHaI/JoW6skbpeKx4UqFaedI2tN21YQcEhypO2kauTQwv lDukEhiRO7plIslRDuflaFcE6gcYPq2UZTU0R9dyifwsPrOGlqicgsGa0YrI/HIM1pOmHe6F 41PKkCPi0X0J2DgmxA2Jlp0R+QiQhrbJxYRuiA42ZpEC2iLa2MFwwSMwfC9snZNk+6xjhFld x4UdRESTIRBGxGiYALqgHNwQI2ICVp+i+xSCkv9CBTDpgRle1zLAci2qhifAmGEOmjIM4y5i ZmQlyyN+z9ABIjoYNW/4LSTnP3e18cxbrygYva5DaOMmh5lX+6bCkQ7UcIRdfi3Zzg8oJYVy l+iW454Q/To/8DerJUVK5Kg5Imhgpt3Nd2iT2QPxNMqpdG3/Trrtvst97dMvR3Ave/ygZEDQ PU/BSAK/L8Xgb80Tj8Ix76OMpGY3rUQMJr9hz6htC0dytSgCgUUYhxNAD7EZJAcngJ5P6fW2 Yy41W6Pcp2ocb1oxYpXUsdbxfSLTHAhIcw0h+j6ZxAiJfAAgO8QSgdAmSsQB9dvyBIApTkyG HZgsnhJrd4Z2bBOFpuMLnJGfXcdiWUzZ4AJo0nsiZV0LLUzX7qlyL/B43sP8JiTcMXRkLtkP bxTtU7QAJ3Fve/Q96oXZusxxwrUtkK4dDV8iF4j4RKOeEma7lGV/KSJfPQcyy2XnbRKyvuJB CumPUCCENjlVIGI8PDITqOmAy4mhjnLKJkY5NdS5nOi8KKeGJJcTIxLlEaEYQB5ZZI8ckTtd cSKRfRB9tFl01jeU2YtyyuBBeWjgh6T5jUi0vsK9tCyKSCdzM+NT7kakAfaJ73ltgtoh6hMN 49AnrFP05qmekVrkhPkC8iAg17IlO8H6ab14yPHJ20YiI9I/8S6Q4TK1zFmdNWoWgJ3FyEkn r/GkOjQCfkRr6LutMvf849Sm/2FqR1KnfVN5g1FJYrRKYtbQN4qQM9oj+4bVB40oJnUtuwOe HBI0qP5hFV2aVoc4G/ASILx5vLEo1i0yiJ3/CS3k6Cj1pcGjnmlRUMN7QtVbIkCeN7fHQFtF /H9tAv9l1cPh7fsH+ur6eH97fcXLIXrcO3zcdFgWsTY5yEcUF+GgnCWhGHm3oy4nIOOybRO5 FCyPxeDRvGDZrhhUnhxVgb+syeIK2rNVMxpvQzqGQsGPc8CTYxMI4hNkPQuaKrfUxKZzJmq5 xdc9EpV1aB8N9Plmf60/VHRHum7TAmOYUs7wyvSinMvBX+P9EzH5m3TYwd/Up3WBUpxyeF+V iy3D4W2DNwLKFDiHCzqvLPc374h4T0D7CMAfo25xcICVruX4G2p3ZsQxoLKrPca/zhv87N8I hs3qsZyNZdmebVN6kxPS3PYdy5XWWRzgt3IsLUtcTGvqG05eL5pQaf97EW4cvdIM3u7HZzDm jqcmBEJfS732rV5PHMQ+dw2Ox5ZXisOvxazi0OBmHH1i01dvFljxoM/lcxCSjnUn+r4Cp423 n0yJJyy2Ha+1Il9LX7lWJYOLa9uVfpc4imN2pVo61yeDfI29Xb1IxaWaN3Yu7WKGjpJVaR77 G5toVsIjvd4//f+Y8SWyl5mSta69y13bEJhH5CiHHhX1wQ9P/Pb68u3Pn+yfH2A2fWj224fp GtI/39DZafv38+eXp9eHQ7bonIef4Af37rIvflYU0DbPStmVEhePUa1MzVHkPTS59hA6HTU9 ArPUsL2Kd53GZuGBrbS7ALdRHlL6JHBCejk1pjn539bqcff69P2PhyewnLq3989/KGp5qeru /eXrV11Vd6Dh98pNDxEYbxeZyj+TKpgiDlWnVsOEFl1iTP6Qsqbbpow+MyFR1++5S9S4ptyP ShQWd9k5E++xS7B6V08C5yCucl/iVf3y98fTb6/P3x8+xvq+deHy+ePLy+sH+uvljlUffsJm +XjC498/i9aaXP0NK1t0TfIDhWbQUvQGsMSrMWryveqp+ZkCtfMulTc5zll61xZHr1YIPgyJ N+Ftdgwpi541r3MyMMSf/vznb6yd72+vzw/f/35+/vyHdJyCZsyppqDoB9DXeMOtjZuTcNeD Q5qDlHQ8myRyRk8xS+BtEVLutHFZUceRL6tfLo/reOOQkVW6WL6FggLQ+F4Q2ZGOzHadIDrE YFFeaeF80/Bf7x+frX+JBAA7WMTIT01C5amlJEjRVg0SWp7BVNWGACAPL7PLI0Hf4BNZ2e3U 2l3kimN0UT6csnQw3IPk+WzO0gIJN08wH7/ri6GZPhupKymy7db/lLaumqsRS6tPZDyahdBH SnypGeExqYy1ipSkRZcAK6kjQdybkeVy9GkBC6T4QZP8cC0iXwxsOwNa9J9JjgG2N1K4ihsw hdnRSjTdQ18p0i1oqQ5oQVRnrGn9GGpzJdmszW3HIkoxAvINCgWjDmLMlB4Ivp5qHe+mHVMK UMNtiZgbUJaiRKEaiQMRARSe3SkRtCREDV+u0baPrkOvUJchp4eeUHOnxPNcntSiXkqIFPlS QJRAlUsviDFQzEYHWliFbSymA7sCj4QQKcGgtclKA8SPyHgzwqMO0SPSAha9RLduziAn+iXK XWKYNhi6h+w+rU8vYxY8AWUSaYoaP6zISpLoJxtDz9oYlI9FjieOrA1+JHhk4ThyTxVuaGUU bGxaa2zoM4G3pvT8iOpnqG28yKDfQCeuKSIYqI5NaYYirsON0nGIY5fYXGjm63ObViGuQ3Wg UT4cLtKqRM4eqbt5T93Ea4Vr+mC8t8SzWr8+fcCi7q/1fMZFRWgGaE5HivVzk/vytyIRIX2r iBNf5A87VmT51ZBCYPhuIVHowwQCJXTuJxN60Z2RAJOub8hm6K21QtI6nkUNTMU9jCQnVJYa 6X5RJN3RDjtGmQRe1FGthnKXeAPKfUJhF20ROB6R1e2jF9G6pan92BTIa6Jg/12bpVRnN7P8 07V8LJYLu2/ffsGF5Wqf1i7LLZ2dJeh6gpiJOviXYc6ZIvetlq0JXbn0433PLHlon2Gd9H4n v5rrrOS/nD1dd6rIsn/FtZ/OWWvvO4CC+jAPCKhMQAmNxuwXlzthEtckmqtmzWR+/a3qBuxq iuyZ+xJDVdHd9GdVdX2kvhIIaMqMBtqWCZQ3c+q3o2D64n4R4F1PZd2PGmQZ8vouLgJa51Z5 q1FYk/NWvScoVg9/iFr73IfpMwOMRna39TcxUuthuDDKWEpjFKL7EX5Ce44oZ8EYkB65rs2S zZZ/o7K6V5NnG2akRTLo0hyL26azlLgrXFFMofAl+BWGI2QFbQEMx5jptmpEM1TBy748XLih ov2HzrIk5VQzUtvcj0OtyMlqWruzaT4BWOhUJTa5XtHdSTg7q1dVSRxOobbpch1VgVS5flJE LY+ZCl4n0erIXKKI5pGfGQR1SF/6ndc3/dWmigHOFpxhkFn+gzsCDOPUr8OwMJ+JaKqhUhBU 3K74AudLUbTQ6joRvVTOx98vvfnHW3n6tu49vZfnC+fS8jPSun2zPLqn/qmFP1MhVJsWBZiT qu2qHkOPnC+7p/3hyVRk+g8P5Ut5Or6WF0Oq96H3bc+xeDP9Cmua3NSpnGipqqbD7uX4hGEZ HvdP+8vuBbVO0JR2vcORzUclAZQz6qjxs9L1+mv0j/23x/2pVCnISUuayophnzK7FajDfqrG 1gZYtGU/q1d1we5t9wBkh4eys6OufWHrVjbwPBx4esU/L6wK4o+tgR+FFh+Hy3N53pOqxiOd +5XPA72qzjJkDYvy8ufx9IfsiY+/y9PXXvz6Vj7KhgXsp7njKmxfVf4/LKGa0ReY4fBmeXr6 6MkZiPM+DvQKouHIHdChlaBOQ94a37IabmZ8V61Kg1eejy94MfPTUXWAWbdJirqfvduksmNW eXNAywCYxCpL7R4q/2N96PiHx9Nx/6hvTzXIfG+y9HNyCTETW/R5w/DZ/La8iMW9EJnP3X1g CNUpDZ8Kz1t/ltqON7jZTpMWbhJ6HoixgxYCQ00OrMmCR+gB2TW42++AM/QYctPWmXkNTkJx ErjLwwcd9DQMvIYZsCoTQmAGoEZMFoQwf7nb+oog90ejYbuRwgstx7c5uG07XCNFlAmX1UvW BHMQbL12iSIEOXXMwoldM4Fz3yoxfV6A0UncT3ryGvi+DSeJaSo4BsxPgvZkKRIxcqz2LF0F tme3uxXAJHtODc5CIB8y5dzJa6VloS2eilNoJ2MgiK2fTZSFOdMJNSWu5lwPKVwj2nlJa0wr lHiDYIPJXLHLbKKiNRoYGVygDc79uzZwHU9yNDBoY1Qik3Cbze/byOpu0oASy/emNXcp93Ei ZE1KGnRGbJWyeEBNWVSy3d35j/KiZRu9xuqkGE0sQmEMR2Oqx7yOoyTEWo3rn3mK9kLYHoEG eZwNX5bGIC+JuO/pFrnpNMRYCwPH7sxVrtBrT7/DaEvCNQQ6INOmzhwD3gSJNvbwgHdUMClu VlmbEGPRZGT2KcsAo5AG1lJHaCjtLoRFwn7qsjgRu8TF0UC5ZG+kSNZqipLoNkgUo4+MhgnC IBpa/GcgjoQs1nFCZkIIMr4+la6djAxeUngqAyH3fagegN9ZxNmFIMHtMo9vO15uHBXZzVsj VNcgn3ejWqtt+Drgu2ICPPWIXj5r2Gm8gf0jTdmFXmko1gEJtT6/g4W/wNiLrcUevBwf/uiJ 4/vpoeQuVdM4yJeYbwrWSuENJrxZL1eIVoYfJ5Mlr+yK4cNWnXm/8/L1eCnfTscHRtEVpcsi ynIaGugKhdkWrdnmMqWq2t5ez0/szXKWiloO50skbzbbGEYwvovzJlEZ9NDh8Q6ElLZCraGV yqLmhWXQ+4/4OF/K197y0Aue92//ReuIh/3v+wfNIFhxza8g4AEYY9foH1Fz0AxaxZk/HXeP D8fXrhdZvJKoNtkv19g4t8dTfNsqpD4MUDWX+ZwC7HYVB8FVS3iVtn5SujLL+Z9009XwFk4i owPa8fSS/aVU2Mn7/gXteJp+ZZqPmWI30sodAMCKJEmUszPhn5cui799371A13b2PYvXFG7o FdBWtGz2L/vDX11lctjGEucfTTiNg8Ck8+tpHnFW0tGmCOSFlOr3vy4gLlYzX5u7hBgkz6CO lk0Rpt1WBYaT0R64Q+4a8UrR7+t3IVc4sNCDPoeg5goV3LzxrsHFwrVdi2lbXozGwz5vuFWR iNR1O+xMKwr0QTANhRkamAfwt89ehqSwJ+bkegxXI+qbF1GxZePTIUE81fjOWOdM4QE4t+lU 54evsG0wYcFE/0zh5hWBhkXz9OVCrFKzshvkNpGKgitLNjgiuRaqf3UjJe2dFqmsFXhtaa6n SBzt6AIicVcZWXH3CwrPFn5tZR1i/B+qQXlpssZyZkt+uElIGsAKQOWKGkjcMyRwSO7mKlCn 7lFhDefPSerbrLsgIBwaSxkgAzYbzCQNYJWZ+XJ0KP0ggiFfFfoOtZ4J/T6fZzr185BK9grE 3xZLnM3bysu5UFSt6aOwxNR3sxGhpneQj7TpCkS+82YT/IYZ1ImJRRr0nY4EymnqDweu26lh rPH8ACPW0134ADAa6DfQABi7rl1fZ+nlIpwvEzDaPpxuApgDLgF4jr6Fi8DvGxnWRXEDshV3 h46Yie8SZeb/42agmeLKCR/WfVL4dGkMrbGdcxon1JLrrtj4PCaq7KHjefR5bBuFO2P+oJAo zqMWEIMhLdWzWs+wz/tB1MQS7EAbmgNU83ucEZ1EjLZm24fmfYmGGnOTQiL6pDGj0ZA8jx2K H+sBffBZD07ih+OBR96PpYTo0xRQ/iZzrA1CuTYBcjQyXwkCG6ai3fFO6I9xG5plxlvRQkUg hGlUtPIK12JbDOyJNuvnGxKIQhlxVs2pYUXgDGjccwnqMF6RuDE3jgpDjIaQ1bIc3vUEcbbN btwKpVmWIMChemUE8VaSqPnwqHVQGmTA5/DiJOIGHSa4iBt3ZGaW1w/oHojOw57VMZhptNh+ t80+X/ir4UiPa6EYxWbMK6g0Algjf2u6j0iM1HnFxiy5YtZ8i64EgNetcRZoN2k0VISSvU6X odKW6TUVsgRrZPOnQo3ucxtsjRwIy9HmpwLbjt0ftYDWSNh6l9W0I0HMmSqwZwvP8QwwFEBT 8inocMzmDFHIUV/XZ1Uwb2S2Tyi3MgpNQYrYmIsf0zAnwcAd8NOqMqOFWcyOnlRg9S1zpqyn nm3Roav0Opu6+n973Tw9HQ8XEE4ftZMMeZI8gqM0iZgytTcq7cLbCwiBxlk46uvH1jwNBo5L Cru+pbjZ5/J1/4B3s9KEibK4RQKrJptvRbQQHc55iib6vvyMaJJGXsd5EwRixPJ6sX9LDXCy VAwtEmwhCGGoTLZGQTvjLkmsymfDcSbwDXGOGY/ELCNR5zJBXVPX30emN16tezN7VFmJ7R9r KzG8j1XhqXUlAE+gT41UVH1c30AojZTI6veaQnUeV2TNW2qbM0StK8F8NdFnSrtg8lphNIbH EWbZwFUjVxkbqNWCyTnUdOdZPdfyCNfm9j2LPo/o80DfAPF54BnPhEdx3bGD/m80cVYFZ7ki wPRzWoRlWBC4njPIOwU0l9wxqGdT6nO9sWeKh+7QdY3nkVHv0OuSTt1hR7onieqysnGHQ6uj F4Yt7rjfaSE0GnVIzWG2xASL/NINxWDARuMAzsg24oggs+SxR2PqOX3dZgXYGdce0ueRPmeA SRkM9SsSBIwdeiZCm62RYzo+K4TrDrn9TSGHfds2S4JR00pXZ08d27uxq/lkuTSmXY/vr68f 12Q2xCCE4KpU2+X/vpeHh4/GTOdv9P0NQ/FLliRNXH15szBDe5bd5Xj6JdyfL6f9j3c0WyKW QXUsI3Ij0fGesmR/3p3LbwmQlY+95Hh86/0H6v1v7/emXWetXXpd00GfWjwBoGK5q9r/bdnX XLCf9gnZup4+Tsfzw/GthFGuj9KrbCNsz6JbE4KIY0wNMkzLpCLJ41goP9zkwhmTIgAy0Dtj ks5sr/VsamYkzJAopxtfOCBBsMGR0mzVt/R6KoCpaKq2/Nl9vuzUssTFDMQHi5vf7T5Vh2m5 e7k8ayxLDT1devnuUvbS42F/oUMwjQYDnXtQgAFZ+X3LpjqMCuawBz1bn4bUm6ga+P66f9xf PrQJch3n1OkKeBTOC5ZDmiPbTv0eAeRYHRqveSEchy2nWFF7HREDo8VpTRDhkIFqfZLafGCV XzCIwGu5O7+fytcSONd36CJGg8orFysc3dUr4JBX6EjciEz12Jj6MTP1Y9uMJTrdLMVoSDKO VxAjx3QNpRrBdKPHMY8X620cpAOHWEDoUIN/0jGUewIMrDJPrjJ69UJQ7HrVKTieLBGpF4pN F5zl8WrcJ+Vt4z45tz6ZGHoBOJjURVuHXu8RlFO8TJTLLanwt3Ar+h0KBj9cofaEnXxJ39K9 IuEZQwlqgCwU4z7dKiRszO/TYth39HN+MreJzSU+6zM3SIGeZkZEEMvQAKKv693g2dNVtfjs 6VHZZpnjZ5Yu6ysIfKFl6eFDa/ZeJHDGGJHrCa4jXpBE2qzB32/CN9Pa5VluuQ4/VnV17VA/ GseXux1cZbKG0RwE3NED+/uAJvusIJpQsFj61MxwmRUw9lqPZvAxMqKRsYvaNhuXCBH69Y8o bvp9I0xdsV2tY8H2XRGI/sDWtSYI0L3N6+4qYACII7MEjAzAkN4nAWjg9rlzYiVce+Rolozr YJHQ3lMQXUW6jlKpUjEhurHSOvFsffp/hx6GDiUcHF3lypdi93QoL+rGgOG5bqqQitcVihD+ iPVvrPGYPWSrW6vUn2n6QQ3Yvlm7ojpubPxZ39a3lzQN+q5DzaaqbVQW08U31cM8TwOXXJsb CCNSr4E0uL4anacwJT/Ro1CyrpjZ937qz334Ea55+1V7uXCDqIb3/eWyf3sp/zIuXqUqZMXr Xsg7FSvy8LI/tCaJdiIxeElQh/HpfUPr+cMjiFmHkipX6pzV7I2yzMuUr7JCQ5OPKNAgFs1b a4KuK2sM4kEKqdrOt7A6FA/AnUon5t3h6f0F/n87nvfSuYTphX9CToSdt+MFju49ey/uOmyU iFDYI50BR0l7YIriA90XXAF04RxEb4vcXADA7hvSumsCbHKaF1li2ZV/qyFuGF/FfjH0tO7M l6TZ2LZ46YW+ooTcU3lGxofZryaZ5Vl6crJJmjmUn8Vnk3+VMGMRh8kctlg+ameYAUvUISFk FndexUFmV4JRI+wltu2az7RlFYxGl8ySPn1RuMTYXT0bBSkYLQhgeujharvM8kiY6s0KynKw CkNKLtwBjfwwzxzL41jq75kPHJmmuqsAtKYaWI9QrZAw58GVlT2gn057eoj+uE80+W3iaoYd /9q/okiGq/lxf1aOXq0CJXfmUpYliUM/l6Z123XHld3EdjqCMWbxoiN+0RRd0DqMqkQ+tdgQ u5txn0TJ3kBj9Wd4T9sIkPHoWw5hKtx+Ym1Mr7ufdM+/dsqi2hd00qJ7wU/KUidN+fqGajF2 X0BV5nhE98043RbzKE+XwXKVUY/fNNmMLc/mlbsK2TF+RQpSAXfzLBHaYivgQKLzRkIcLvgv KlDskUv8D7nPbZjtYqIXDI/bOORi/SJG+bYXeioEBONEzJbUARbhxXLJOwbLl6Kcd4WWb2Jo uI6gw+s0qqIYy7GEx97ktH98YiwqkbQA7n+gT1yATf2biLyP6S+512OkBknR1alb9pvXOyqg 7oipSCzg4aGJFHZdznfpJzHJEKsywRbBpJMivOO5R8ShQeO04KPpIF4GKmXDdyC2uEto+wGA kfDqjonz297D8/5Nc6yu9738Fq3ndel+O9XDSGD4hdxHOqK5MAvUeLnMD25Mx5nr7hcJtOlk jZTVhj2/74n3H2dp43ttZ51dmPolXYHbNM5iOM119CRItzfLhY/2pw59E9+oAmPAQshzkslZ R4adrwk/WRO1EyKlXWq6GaW3WCk3WrKpmyghDSZlZBt/64wW6XYuYjZUt06Dn2YWsAyiZIkX i3kY8dEEaCc3BaMHWeCT3MlhkbExtgOyMcFjV+BqwCRZcz2blScMzyMPmVelJeac/T8jq0vO dVtn6AYi3OJzkw30LocjnJXggeiabJqWJgNO6JH9dKffeq0swnwZh2wXmw7Boa+pE2X8QuPR jE5YAdF2RoS+Rp2jd5fIthG6kRAvO/VKzsVGnN/1Lqfdg+SPtP6u2YeCG2QVgKSYE0mtgnUM d4OeFZo/WwNNxYovrOAF5oaA2XprlXv7w7RLm2zGm7dPBTtZMRw5cBCbqzpVE6FZ96MVmtzM huOOBFgVXtgDi7OARDR1qkQI+k7pmy3Xhqv2bKmnYYGnreapeR3gJE67tmQpmcP/iyjgTnRg qhaFLs3DMbW9XfmhkSTw6okFZyDsklmxyvkcvOlSFOxYGme3uofdY8BVuVHph7+PzDkw5rC8 Mz8XpH1CJg2Gjg+0UzHaIMdCgqtWkO0EPc+2y4wc+Bg7Bt3sbgw+/loJnAL5fWbmJgbEGg6l ggsRMxUqesy1DWED0IZDgrpYlanffqWGVfFtkXtLYwGTYcGP+O1qWXCeTv6qWE7FYKv3koJt KTc0hcYBiCliCR+f+PekiCsMjv8wzmGebeFHL5Aj8ZM7/x5qBj5hyeUp096JF2G0YSvcQHfK b2CxaVT4wTJrQgEHu4dn3ettKmQmaTq+EvTJjlQVos67c/n+eOz9DpP4OoevhzW6AU75MVIu gvM4CXPWQ/Qmyhd6JxunB0gprUduWSjExi8Kam4pwdB3YdRhGTNfzaIimbCTAA6gabgN8sgv iO8x/lznUn3Wt7tI31SECuOEIYOjlO+qRcLD4WRHx33umFpu7wg/S3YZZUhWPryfUDBuhZa6 ifQoyPgEc/Z2BazCtjVbYCWKGFq+KJAwh72Eb+qkKokXRfMVFBG2COp9TO1DFYFeOzxvw/kW E8n7hbkbaDRy94gDRaPrxoMV7mTACkVCsu4ye3yboA2h20VT0CIq7pY5H9q1Icr8Ys4f2rBd 4y4nlqucT9FewCcEcudMYeDnUZLpBwOLltX9+uWX84/94Zf3c3l6PT6W357LFxDKvzCtQx0+ e/tQ4YU/RREnDtkOwAMlXN4t8Ea4g32aVT1KzueZKjueLXzzWK2piPcaBnmLfAGkwKjl2zjc /GpbWpGSt02zxC/4IxoJFjOWRqMQ8ZWEVl4Hqm+wX/avu2/n/dMXWkdNN/fFfCvmPmv6ytA5 LjELapHcZS7ra2MS/vrl/LyDwoxmSYkBtsskDviwakgE21vI0GgUfpblfiyMvqmhMmoIurVo vH20Jgw9PG5xa4Ytc7UyBQ2dJgzVHs6t8Pp7r8tZj9sHE/HXL2iN9nj88/D1Y/e6+/py3D2+ 7Q9fz7vfSyhn//gVo6o/4W749cfb71/UBnlTng7lS+95d3ospd71ulEqzrl8PZ4+enuQ3va7 l/3fO2oTFwQ4APJoBm4OpiiKYa3g/yzV9yjXnT0RBEsbWLjFchHRldOg/CSpS+9gggkpVtFN h37AwJQEHfkYWsTTPIo6aWsmn++uGt3d242BsnlgNX2Ip0OTNCE4fbxdjr2H46nsgVStNjpt WCQxfN7M1+8BCNhpw2EpsMA2qbgJ4myub8sGov2KXKgcsE2aL2YcjCWsR6Td8M6W+F2Nv8my NjUA2yUEy5QhTf2FP2PKreCdLwAfLWSAUxlaskU1m9rOCKTaFmKxSnggUSZV8Ez+cqKhwssf ZvxXxRx4E6ZAbGxb8ff+42X/8O2P8qP3IOfo02n39vzRmpq58FtVhe35EQUBAwvnTHOiIA8F L7/XczPlLwnqDljl68hxXXvc+ir//fKMt54Pu0v52IsO8tPwHvnP/eW555/Px4e9RIW7y06X DeqiA45PqIc3SJnPCebAhfqOBUfTvRn83KT1o1mMYa+76xDRbbxmenLuw+62rneVibRnRtbp 3BqwYMLNgWDKqUdrJJVGGijPHzdt+qTEJL9rfcRyOmnBMr61m4KNoVOt8+j+Lqdq07p7MWNj sfpkCDEdTdOLc0yo1NGJJNhuvQdywI36AgpcK8r6Cr88X9o15EHfab8pwe1KNtWmbH7xJPFv Ioe/AyEkn/QnVFnYFkneXU949iioJ3p7kwwHDIyjc7dZxo17GsNEl8p6ThNf70hpSCxr65Uz 1+MBasCqrhbi/yo7kuXGbeWvTOWUVOVN2RmX31x8AEFIosXNIGlJvrA8HsVRTbyUl7z5/Nfd AEksTc3k4rK6myCIpXegA6V2QvC67IT/xD1WcMkLA7IFjSSpYllJevOoKhye//JCbiPTiCUN wPo2VhiSvNr4d5sFiOiw6bAGRKHyPBMcGxBNe5SpIQF/ZmcQF2FYxEcvInk3x2KPsU1de0Gl cVrOmE8CqxgHI5Ie8unhGVMjfM15+IiFb3cNnO6mimCfz+ItnN/EmwNgK24b3DRtGnVO3z5+ fXr4UL4/fNm/DGdZDvYYX7A6yibrZa1ZV+rwPTqhE8xdLN0Rw/I6g+F4AmGMGIkREfAyQ8tA YVCy3kVYsiizchHq0H8fvrzcgs7+8vT+dnhkmDZmZwv/OnsH80M+iERmpcW3+0ckMy/hVZOY buChoF5lN+ri9BjJsc7M8uKpp5NmwhLNMsLVht2SotkVhULPFPmy2l2t4n2EefZ/khL2SkUf Xw/3jybl4u6v/d03MKi8cBg5G3GCsPBfM/rueHfvT7Q9fGaSlULv+lpjebGLMWN/bhnlWanA 6NVY/dbPRhBzcYkkA9aOV7e7V47aMDlw/VLWOzBHq4K8YDxJrsoBO01BpVM+GK2zQoHlUCSm lqMFG3+jyOM31DLDS/WEm3Kg5QrfCEpOvZWrJXnJtPLEvwRNOGs9fipPz32KWGmQfdZ2vf/U p8DEAcB4OT+7R4ggz6RKdp+ZRw2Gd5JbEqE3c442QwGzxr/63OPR0v/lFmXNklh/k05iTayw wapKq+L4x4PcQAEdJBIiNFUx/Aa3L/BJXywRNBJWIKWYlhHKtQxyiaUGacXD+f6BFGMR25s+ CGYaSL/9zGWAWSSlS7ianIVnwp01CxS64GDtCnZOhMDbv+N2E3kZwYIaGeO3+VqAA8cxiDcl ebP8C4FBQUz7psorv2aTA8Vm3S2YyCDkr69F3qOm6Wz1pqlkBszhWsHna+EIW/TzAWNw8yIM CKO0vccwEB5WC7HxWx/QJ7vaK2RZUv8NHvicl6VAOCqPImqKFbj9RhaFOJGmum/78zPYsgHa 9qrHBKdCNGu/NzBYudDA46qV8tONqFnMBWIqh0wI6DWfwGw7nKhSgo6kubKnzTI3U+zMD91r GkZIlnmV+L9G7uAwlvymb4V7Gk1fodx3mH1RZ955NfixcAtD0gXFw+K7TpsqXpJL1eJpgmqR uotkHOgaM108F+WIAoxWOCS46AXGkTP3tMpI19lo+SLvmtUQuQuJMDrcF+6BEfQRp6p2iw4b vzGpiSAn8Ra+kwmFioM7ik7GciD3fbf6oJUQ9Pnl8Pj2zSTpPuxf7+OoJOkUa6qaPHXMAiXe nOWqwlUJexjTG5Y5KAv56An97yzFVZep9uJsnGAYOLFkWjhzVuauFFgSN4qUc/j44pJdkWBs pVdaA51ida/ZYRmtp8Pf+/+8HR6sLvZKpHcG/uIM4tRp6gwq+1zuhYaO9BuhS5jhs8/uHNfA 2jCFq/D0NAwRkXtWNHxq50pheiVG2mEN5dwdLHbzK4kKFcbDC+FVsAox1L2+KnM3y4TaWFRa qn7RleYB2hb9pz+8RD6XcqPEmu6WDIpaT5rvz44vDTAZiIe7YYGn+y/v91SEI3t8fXt5f/Cr QhVimVGhYMo7jYFjOMUU+Lo4+X7KUZmrbfgWDA4dnB0VSPvll2C8mmgEG2KjG/zLjFpD3ngi KDBpiufXfksYsmJmnRgkMaH1MnUYqf01Rfjhdx+VlXKRa+/xNDkycIiFf9us7EBOiVY0aA+v wNI7iZln0ogSNNsya8FeDAeEsHOftZb4KDLnLPdPcP3UEvGnBNNg3EsBDRTTRgbzygbWxsYc lokcTG1bvOXIVXJMG4gdhGYweyNqKC9nx5Szj/Ad1aZ02S/B6iprqjJz41VT472xfoLXVsml kuxM07jaAQHxl8PODZv9ERzFJnSqgg1BDoDzk5OTsAMj7RjLXMwUTPPJKXzbSHZJWP5GErRD meIJARDKqUWqMu3hp+SzR0wz15ynfVLODI0p7RcPr0Ucad5cVExh3SNUlmWiVvaDuaIPw3S0 BbCCcGJmkDYivha4iWJPjMFikg2qHWU17VBQXI3RE4acp50RdGBlkv5N0ACJPlRPz6+/f8CL Y96fDa9f3T7e+zlt8EKJQe+qYj/fw2MeZ6cm9oKGf1ePd046Uq5atLPIMY/CJaP3/AyN7cPp ND86DV5Fx2Fc7TWicFfT9CqHkF7F+WtmicOxMa/qVx3m5fjmxZDQMqBIC6y69uJ0UkSdF41k s2MUkIRDtLnCejpylVZLdz0dXyMmqw7UhK/vqBu4/HjKYWDQ/qLEL1srVRvGafxnGHqcZMWv r8+HRwxHQi8e3t/23/fwz/7t7uPHj785rjVM+aUmqUyXLfDgas5Y7NHm/4ZgLTamgRIkb1Bb kOBoPc7yOrRmu1ZtVaRfDFUwInHGk282BtM3wCEojS0g0JtGFdFj1MPAHKS8NFVzpAYc8DjR Vqi6NzlMxRFWaMePrFi2AKY7aLCNMLct8GlMH+maUKN8WHiP8S62JjUv2IisPZK3+2/W0dC7 VuPlw8AnF7lYRiMdw4mp00PuZ5DKjmlHXdkolYLIM865Y7LVKAORp9vswW9Ggfp6+3b7ATWn O3RHO9q1nZ3Mdx6R8LLA4HVzzgdCmvTRoFzoxA5Rcyn7FPRJNPLwCoBsJgfqaOfDt0oNIwXK qvCzf01oSnaswmd2r+yiDS27YDSCxThZdEBJV5JG680h4FcyYkCvcx73cagzkBU4su8/Tv0X 08KZeae6amIPEvWWknb7Ja1UEGRZxR9Y8scs4DRX1ibUpNo4PjO6rgFa1q54vHbMzONY6FW9 4mkG98Bi2C5eA2bjFXQ4BUYV4xMBCRh5kgYTKUHbLt38KFMhyz5oWnHmntqWPicmN05YsoGK IxC9JyXQiAK7wp7IjT6v1koVsAvABmU7F7VnAY6UmnKi59ZEI4o6d2WGAQyMg/NdKjo+llnT dDo9+vz0v/3L8x27o2o5pqBtlNaV95nwWVZ5ByEC4unc8Q7hk6rAi56Nhs8n2FQp3vwOgxg5 0SzFZVfUfS4SlfcLRbnRxkjgWltgIm227Wq2paLJMA5Dzt/5iAh2GycOtUjy8o6bzhJsPX/5 1vjJhzzDKb5AcBi4BiR0knMJxO6jva7wWmwVcOvgFhUaUqHz3ZGTyguR5cb5y586gSbqNoVB 5f1t0UpwfZbt/vUNJSfqfPLpn/3L7b1zQwwdtHRcEXTu0h7RDME+czQwtTULmMPRPrcZkNOx ECuWelqXYLVdGlcZe6gKB3mkmJqn4SKLPFCYgicoYCq95IGQwnEq+bNRFHI4QDIzZX5Dkw6B J2Na9pTYuKnXsnKz94x5CEYhgC2fcyNYPjX+Gjwc5EvX6LLwT5ggCTovdVcgK+R9mIYKdo3Q Shj/wsl3vCrL8TBoYMEYSm6NSh3VCx92qSpCP/rR1RflTxu3+v8B7squqmeZAQA= --7AUc2qLy4jB3hD7Z--