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 653A7C43461 for ; Thu, 17 Sep 2020 01:18:40 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 22A8B20708 for ; Thu, 17 Sep 2020 01:18:40 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1726117AbgIQBSi (ORCPT ); Wed, 16 Sep 2020 21:18:38 -0400 Received: from mga05.intel.com ([192.55.52.43]:63584 "EHLO mga05.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726101AbgIQBSg (ORCPT ); Wed, 16 Sep 2020 21:18:36 -0400 X-Greylist: delayed 317 seconds by postgrey-1.27 at vger.kernel.org; Wed, 16 Sep 2020 21:18:02 EDT IronPort-SDR: sPij9rla1fcyEXN5E7qt7aEO8yN2c8m4+FDNV515tNN56uzaj/npa9qCAcTU/FZH7fSk7r3MZl gfsZ6P+KM9eA== X-IronPort-AV: E=McAfee;i="6000,8403,9746"; a="244435417" X-IronPort-AV: E=Sophos;i="5.76,434,1592895600"; d="gz'50?scan'50,208,50";a="244435417" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga004.fm.intel.com ([10.253.24.48]) by fmsmga105.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 16 Sep 2020 18:14:52 -0700 IronPort-SDR: JOlwhh/PDBR+vJGfuZpwpFRT+etLzHd+DncpsC8zJ3JUMBRi9dpo7BHLAliGni0tHWAJzCi9qd lyUyAjded7Lw== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.76,434,1592895600"; d="gz'50?scan'50,208,50";a="331933525" Received: from lkp-server02.sh.intel.com (HELO bdcb92cf8b4e) ([10.239.97.151]) by fmsmga004.fm.intel.com with ESMTP; 16 Sep 2020 18:14:48 -0700 Received: from kbuild by bdcb92cf8b4e with local (Exim 4.92) (envelope-from ) id 1kIiVc-0000LM-6E; Thu, 17 Sep 2020 01:14:48 +0000 Date: Thu, 17 Sep 2020 09:14:11 +0800 From: kernel test robot To: Hao Luo , netdev@vger.kernel.org, bpf@vger.kernel.org, linux-kernel@vger.kernel.org, linux-kselftest@vger.kernel.org Cc: kbuild-all@lists.01.org, Shuah Khan , Alexei Starovoitov , Andrii Nakryiko , Daniel Borkmann , Martin KaFai Lau , Song Liu Subject: Re: [PATCH bpf-next v3 4/6] bpf: Introduce bpf_per_cpu_ptr() Message-ID: <202009170943.rYEs5XMN%lkp@intel.com> References: <20200916223512.2885524-5-haoluo@google.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="BOKacYhQ+x31HxR3" Content-Disposition: inline In-Reply-To: <20200916223512.2885524-5-haoluo@google.com> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --BOKacYhQ+x31HxR3 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Hao, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on bpf-next/master] url: https://github.com/0day-ci/linux/commits/Hao-Luo/bpf-BTF-support-for-ksyms/20200917-064052 base: https://git.kernel.org/pub/scm/linux/kernel/git/bpf/bpf-next.git master config: powerpc-randconfig-s032-20200916 (attached as .config) compiler: powerpc64-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.2-201-g24bdaac6-dirty # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=powerpc If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) >> kernel/bpf/helpers.c:631:31: sparse: sparse: incorrect type in initializer (different address spaces) @@ expected void const [noderef] __percpu *__vpp_verify @@ got void const * @@ >> kernel/bpf/helpers.c:631:31: sparse: expected void const [noderef] __percpu *__vpp_verify >> kernel/bpf/helpers.c:631:31: sparse: got void const * # https://github.com/0day-ci/linux/commit/3f6ea3c1c73efe466a96ff7499219fe3b03b8f48 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Hao-Luo/bpf-BTF-support-for-ksyms/20200917-064052 git checkout 3f6ea3c1c73efe466a96ff7499219fe3b03b8f48 vim +631 kernel/bpf/helpers.c 625 626 BPF_CALL_2(bpf_per_cpu_ptr, const void *, ptr, u32, cpu) 627 { 628 if (cpu >= nr_cpu_ids) 629 return (unsigned long)NULL; 630 > 631 return (unsigned long)per_cpu_ptr(ptr, cpu); 632 } 633 634 const struct bpf_func_proto bpf_per_cpu_ptr_proto = { 635 .func = bpf_per_cpu_ptr, 636 .gpl_only = false, 637 .ret_type = RET_PTR_TO_MEM_OR_BTF_ID_OR_NULL, 638 .arg1_type = ARG_PTR_TO_PERCPU_BTF_ID, 639 .arg2_type = ARG_ANYTHING, 640 }; 641 > 642 const struct bpf_func_proto bpf_get_current_task_proto __weak; 643 const struct bpf_func_proto bpf_probe_read_user_proto __weak; 644 const struct bpf_func_proto bpf_probe_read_user_str_proto __weak; 645 const struct bpf_func_proto bpf_probe_read_kernel_proto __weak; 646 const struct bpf_func_proto bpf_probe_read_kernel_str_proto __weak; 647 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --BOKacYhQ+x31HxR3 Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICMGsYl8AAy5jb25maWcAlDxdc9u2su/9FZp05s45D2lt2fFJ5o4fIBKUUJEEDYCS5ReM Iiutp47tI9lt8+/vLsAPAASV3M60NXeX+Fgs9pv6+aefJ+Tt9fnr9vVht318/Db5ff+0P2xf 9/eTLw+P+/+dpHxScjWhKVO/AHH+8PT2z68vz3/vDy+7yYdfPv1y9v6wO58s94en/eMkeX76 8vD7Gwzw8Pz0088/JbzM2FwniV5RIRkvtaK36vpdM8DV5ftHHPD977vd5F/zJPn35NMvF7+c vXNeZFID4vpbC5r3g11/Ors4O2sRedrBpxeXZ+afbpyclPMOfeYMvyBSE1noOVe8n8RBsDJn JXVQvJRK1IniQvZQJm70motlD5nVLE8VK6hWZJZTLblQPVYtBCUpDJ5x+A+QSHwVOPbzZG5O 4HFy3L++vfQ8nAm+pKUGFsqiciYumdK0XGkigAWsYOr6YgqjdKstKgazKyrV5OE4eXp+xYE7 nvGE5C1b3r2LgTWpXc6YbWlJcuXQL8iK6iUVJc31/I45y4sCU5qROldm7c4oLXjBpSpJQa/f /evp+Wn/73f9duSaVJFtyI1cscoRkgaA/09UDvBuhIpLdquLm5rW1B2pI1gTlSz0AN/yU3Ap dUELLjaaKEWSRT9rLWnOZu5spIZ7ExnGMIwImMhQ4DJJnrcSAMI0Ob59Pn47vu6/9hIwpyUV LDGyJhd87dyJAKNzuqJ5HM/K32ii8Lw94U15QVgAk6zwARkXCU0b4WXl3GF4RYSkSBSfNaWz ep5Jw5v90/3k+Uuwy/Alc3NWPWMCdAIiuoRNlkpGkAWXuq5SomjLUvXwdX84xriqWLKEW0WB b879LLle3OHtKQyjugMFYAVz8JQlkWO1b7E0p8FI3hBsvtCCSrNFIX0hbHgzWG47WiUoLSoF oxqd1It1A1/xvC4VEZuobDdUkZW37yccXm+ZllT1r2p7/HPyCsuZbGFpx9ft63Gy3e2e355e H55+D9gIL2iSmDGsdHQzr5hQAVqXRLFV/BLGyOF0o7QoXkZaetrIBmcyhU3yhML1BULlLi7E 6dVFdCbU0lIRJePMlSx6lj/ARcNtkdQTGZPPcqMB10sUPGh6C2LoyKv0KMw7AQjXbl5tbkkE NQDVKY3BlSBJi/CZ06O0sW/FLMoSf6udhlnaPxyds+zEkycueAGDw925/tpbLDRNGWg/lqnr 6Vkv16xUS7BXGQ1ozi8s2+Xuj/392+P+MPmy376+HfZHA25WGsEGPgKMfz796PgHc8HrSrqs AXORzKMyM8uXzQtRtEVpmSxoeoqgYmlcJhu8SAtyCp/B7b+j4hRJSlcsiV/WhgLkHC/PKZJZ lZ2eA4xETK2CMwAGBu6ny9VaSV3Gt42m30f1FloApj8t4Jz3XFLlPQPnk2XF4ZBRZYPP52ld czDGQRo/QzBhmYStgYZNwCDFz1HQnGxiWgvkAzhvPCWR+l6fIAUMLHkNNtnxokTaelv96Kme AWgamQBQ+V1BHOWS6tu74OX8jsdXjajLMdSdVGlsS5yjmfEvOtwlXoESZ3cUnQy0sfC/gpSJ x++QTMIfY94VeKkpqqCEgxIDV4Boiu4xGh3X9+k8RO8Z9GtCK2UCFtRojv9bZe6KrB6OrKEA T5ahuDlDz6kqQEvqgVdjZWQAzhak9HwJ67xav8GBGh3nuugOZ2meAQuEuwMCjlpWexPVEJYF j3A1nFEq7q2XzUuSZ45AmjW5AOObuQC5ADXYPxLmBBWM61p4/iRJVwyW2bDE2SwMMiNCMJex SyTZFHII0R4/O6hhAd45dEC8sx0eAp5hYWRIALHwqeFS55ykPrWJYtytG0cfbUW/eI2TzEiy lKfJ5KZMgvMDP/vGE8FiRtOUxu6auQh4l3TnKhvj1kTr1f7w5fnwdfu020/oX/sncEoImL0E 3RJwP60P2MhYP0jUov/giO3CVoUdzPqbnjTLvJ5ZS+DG3EVFFITAS0/75mQW2TQO4A5HZsBQ MadtfBkOYaxfziRoeLhuvIhrcY9wQUQKXlSM5XJRZxkE3BWBGeGMIZIGq+FddUULq5BAnFjG kkAjga+Tsbz1nxv++kmBjrRKri7bQ60Oz7v98fh8gLDh5eX58OqdH1hE0LzLC6mvLiPL7vBU mxHDiKpynMCe1odlLhESBPiiqCFuAQFfxMZCtBfRALXRi/HzKGJ5ABwt5VzMaJ673BuyphPE VPKLqSNpEHPM8FKVKSPOoVxdzpjjbtu1uve2KAj4WSVYWgjndUFuMQ1zggBi7fOPcYJW2tuB zv/zA3Q43rl37yVV6BqirsFACvxx180Bv6VFGQWiMyZAspNFXTqmpBQYXsnrD+fdZiAASpbW zZd1VflZLQOGN7KczOUQj0E7eEJDRCtnizWF6Fh58uHYFCLyzcDcVaRs8gW8Brf+Y5/dM/wZ JoUGcOPF8YIpuOHgamrj77mq3iRpDPeHS/YUlVXhbEaF9TPQYks2c224IWkYgFkKwWdU+hcC jJ/VgGCj5qM4RhJ5PY3j0lO4FeDOvCtD1s5m73gJutL1Cau5TWGarJK8vmz0zeP2FZW9o246 hvLCy/i0foXMwV+1Fz7mty3BLMxrcLNdx4NU4A4SQTAl4LOCZ9aZRE8Y/BMvS4t40BHght3C 2TLjy7Q5jUl22P/3bf+0+zY57raPXhoD7wOo+RtfIyBEz/kKM34CL9YIepgv6tCYN4jHPi1F m/7EgRz/9//xEl+DJSWraN4y9gI6Kyauiq7YpeRlSmE1I0Fo7A3AweirQYonxrYxb9+j+ZHN hZuK4dut9LmD4Aj7dbsy8yWUmcn94eGvwEsCQssIFXWS4rLXTsHuH/fNoADqJkawL59NftHj E8LM+nMCvqAYYVJHVdCy9vnToRTlo4MvSK4wEnCHt7oAT6dKugVPUoc5rREepXH5Y7frQFy2 OLpXC5V4Jj7URq6j+/yC9ahjz8bFnT4/OwsSu9MPZ1H5BtTF2SgKxjmLud531+d9/akgagF2 ts5bX6/PDXkYE5fFokmfarHWdcmKKqdwkIqGoQYtjbpuqhQLrqp8YKQGNAL+WnlytaS3NIlu 22DAY8hjtxFDIvBpiWf1HKCpRXkiJsAl1GldxBMoZe0nrzw7SnOaqHYXGKblwT7BE1GAbvYb mmFTtYihWZ7TOclbV0CvSF7T67N/Ptzvt/ef9/svZ36BEe3N5dJ4/YHBNoFAk3LsLHJT/mvA ly3YRAUhrSm6oCNoLDOHyENg8rJlXpEay9cngOgtGEStCIQ8EPG9c6pnVRELWGiCDpF7l4Jb Y27S7O3oXCPPpOezJKru3Fc6hxKrpyDESVMZdN044BPPMrSuZ//szvx/OhfB1hNhDHGKrFps JARWPWFIgN5ETXJ2115Ir/S6Pez+eHjd7zDh+/5+/wIbglh2qEa4jdVob0uM592B+8xD6Ob9 BtIOunpGveJkx5qNRNHORqq2vFLheGZemkE0yTCsrkvY27zE5GSCZY1A7sFGmkKuYqWeYU3V Wamg8cEZBw0BkQcgVYAa7M5Cx0YaW34zDJa4syDrZvBZXZrCpaZCcBErZPZlVfP+AvzMocOO bqGxaPYSRvIvcOMUyzZtbjUYXhaoaJrqeLgHdNg1eBc2TGq4r4mbS7N00vUxwzyNLovwBYP1 w4EebtLadkZUozGGeALXR7F6DpYFXraaGRMcUTQWdL5DYvUcuwt1rFkC7MfWYJKiuk0WoTFa U7JEE0ExL0eSm5qJcJg1AbFmRp9iobntWYgQNWHxD9HyPHXoY3xr1CMaOy8kHIPb0BuPAi8K TfzkTwh3b76DgUfBo2VMMzz8jW00RsiXXtrUoEF2Mc9yF4AjNdXvU+CtCRXBsN4aUMD1aO0r TTDD5QgMT+sc7jhqIExNYxI2Mj69hXgbbrrpQkDWRG6ped1k7Dyh64/Oy7icStc4mZjI206a ZWwQlyTIwhjCcgUhKug9t7CUY5iNGeA1EamDQJGUbC5rYF7paKdmjgZNAs3XYC+msAZzOhGG oVHUivuxPaZk3FxslyOeJ3z1/vP2uL+f/Gn9gZfD85cHP1xGooEl7yY02MYW+pn4CKZPdZ6Y 2GMtdoKhZ8tcLewDu/vVg0EJKtwt/Ct4Fe+TcKhRwmy/V9TH+UGPoXODwVfF4opr+0wxQhbI hTP/muBBaxMZq8EN8mIIS20dRaxHxCIIS1OXfr3Ce7VDuiO3hi7KqHadIum6xeLxS7efyLpl 6+SenAIFyx87RiIX5PwHaKbTeNkyoPpwdXIvSHPx8XJkS4D8cB6ruTo0Jhn+7vjHFoZ5NxgF L7UA/+HUUrHEsNYFk9K21DSVcg3RISYYYzXwEpQvKJFNMeNuZW2GqsB9XGqZSAYq+sbPybVF 6ZmcR4G2By6AYxg1F0xtTqC0Ovdi8pYA45546sn0T9gIyBr7WOYDidazYAMA0MXNcDbMkI7U HAxHMFNckbgcIoFtFwXtkoiNKSAPcyXbw+sDqoWJ+vay96tsEKww4+KSdIXpsOhNlimXPamT K82YB+5zI8GM3okP0uG4i+LGOAOmRmtbEnnfCuMtGSgZtxl0LLfj5uPi2tMtN7PoObX4WXYD AVXfJ+hN3RkZWZ73a67Lhu+yAp2NemzgMnQpd6LAY0i0KNYRk1UUjK9nEQQErpqDkstJVeFN I2mKV1O3qUbDE/rPfvf2uv38uDfd0xNTC311AsYZK7NCoesyMN0xFDz4tV98Mi5+l2tFL6jt hvoWTCMTwSo1AIOySJzsJwzZBA0dy8f2YTZZ7L8+H75Niu3T9vf912hcHE/L9EmDJidTkLIm MXPR52UsieNBt5gIyGQ+qOv69KgV/Ae9tTDPM6AIY04ilZ7XVSARS0orU6b3Ba3ZMJM8kujz snHRTefgu1XKXsqqxkKL18dtfb5Y2RNDL0FRvD1nvGBzQUI/ERz2uS1MO7kX9AxRorXqKp29 VgO3MImWa6RzCq08Gi4XrDTDXV+efbrqUj9uzXHpvJpA3FcmBO6+A3N9VHjoOgJ6jrTALGbk EIslT3ndFU/vKs7zXu7vZrVTA7i7yMCzdp6NQ+byqIV01bDCagJ3TR1NWO1p/comBWELmU1G xR3A5CXMcbaxXWQUW6RcDWJI4C2ydtCh2k6ODXhglxYFEbF4qlLUBmzEc8fHr3t/sF3HcLl/ /fv58CeWRyLJQpDgJY3xBdS3036ET6C7CndvBpYyEm+jVHncYt9mojDJkXhimSpMtcXfTCss VcJyY6xkdstOv6Ht90qIjBf5gKC16FpwiACi9q/SVel+2mGedbpIqmAyBGPpM54wbwgEESMJ dYrZDnYKOUczQ4v6NtaNaSi0qssyyF5uStAvfMlo/DTsiyvFRrEZr0/h+mlH2j6RjizGceAb jyNZhUp25LT77bpAFMgApJKqBfvD12k1LsCGQpD1dygQC+eC2aG42OLs8Of8lP/Y0ST1zE3N tBq8xV+/2719fti980cv0g8QuESld3Xli+nqqpF1bJOLN/4aItvSKTHznZK4n4+7vzp1tFcn z/Yqcrj+GgpWXY1jA5l1UZKpwa4Bpq9EjPcGXabggIFDmVK1qejgbStpJ5aKmqbKm+/Kxhqg kdBwfxwv6fxK5+vvzWfIwGjES4H2mKv89EBwBib3HA8NKhCssdfwozpMtqLROkkDPoxJfIH5 K6rAcLrENmEbj9+qE0jQPWkysk6GPfoj2liMtObDGcY5Cr5xFJ5PR2aYCZbOR/ugjd6QxBWz BhQdbJWTUn88m57fRNEpTUoat3F5nkxHNkTy+NndTj/EhyLVLIqoFnxs+qucrysy8okQpRT3 9CGe9UF+jH9jkSaxLtO0lPhFAMfPJE202h4GHB8x8Xt0MF7RciXXTCVxXbaKOB3eLWLlctxI FNWIZbSfNcSnXMhx98iuNKXxzSBFfgGOsEQlP0Z1I9T4BGUSfjXVOvD2kxCkqQSLf3/g0CQ5 kZLFVK6xrLd6VsuN9rvYZzee+4L93L/5X2u6Pu3kdX9sPnnzdlAt1eDLtMZ1HrwZIFw32TkP UgiSjm15RMJn8UtBMti7GFM0mV4msZaANcNanPRyzEk2xxt0PmBPh3ja7++Pk9fnyec97BOT B/eYOJiA5TAEfXqghWCoYlKgprvB1A7P+hnXDKBxlZotWTTNjOfxyfGg7XOfyvIO7lPkgyOH z2zkUyVaLXTO4uqpzOKcriTBZp1xrziL42I2tdU/2Kzrx8xwG2B59muJPtdCWI55q8gQVC0U hMStWgkyH7S5D21ol+7/eti5jV3t3pKECCdyrpICQkhXJVqIKUzohMmBBFXJ+932cD/5fHi4 /90kRPtmjIddM+OEh0mm2latFjSv3AKsB4aQUy28T8xXqqgy6Xq9FqKL5stXtyRbpgTLdPEz FXaijIliTYRtqEgHm8seDl//3h72k8fn7b3p7GsPZm044i69A5kUQIofKzq5QNPW087m9fX0 75lGALv1WOKgo2srC26gH6600wZYKMc0vJMpbDWIKT7EcQHU8SBME7L5mCYm1xZNV8KvcVk4 NsQ072rbsBYLcJCImC9nGlLTWNKLqPNVg/l4z6KdXrW5lwi0z5pNkwFMuo0dHaxg/VwNcH0+ AGGqeTiJ+wF9WmA3GJy2EYWMetkeRGYUYjzb6zJenRxeoa6h697caT+fz29VNEdTLBgaUTcz 7w7hpipBZWFuKnpt5qWMZVQK5agQeDCHiJMFJZOX7eEYViAUdhv8x5Q+RoZ2a0RKuroJkTw7 +S6w37SZt+9GUCkYTNzxpimivT/3Z/CGMM1ZphtyxOEcvoF9SrzMN9FDHjLHcKeGPyfFM5ZN 7EdY6rB9Oj6aX2aZ5NtvnhLHKWf5Eq5dsEO7nyEIIvsemiknr1raJ8cmqlyL9UhsDsgRE5/q MZyUWRr79QVZ+CsxZ4tNF8F5dzUyuFfWdx1obUGKXwUvfs0et8c/Jrs/Hl6cdm9XrjLmz/cb hQgpUDcIx47lFuwtBkYw32ZwUywck0FUDTMCrv+apWqhncpXBDs9ib30sTg/O4/AphFYqcAv vFX+1swOCvBH0iEcbCgZQmvFgmMCfgcAHgDITIK1dbXPiTOydarty4vTp298UUO13eHHYMFB cnTQbtukvt9egTKz2Mgi+tszBtv6PAOYJiUvN+BbDEfMCX64Er3S31u6/eGC/eOX97vnp9ft wxO42jBmo4zjooq9xVmO/QaBBHYIvRZMUftVYuxjdJ+YqyqQs2RRTS+W0w9XPiOkVNMPwXnL 3J54wOOAH+7gKg1lBFuqFFfY5IuRg1tqarBUmNYaxJ5PPw502NQaHevdPhz/fM+f3ifI5TFX 1zCAJ/OLfh2zZGF/EUoXTh93D1WmiNf+mMR3T8wGnOB3hgYOlFUZfH/jYBGlaZJAvI7hY4Fl qYC5ERJQmPFwxd7ItQ5n9AjA9YkQtAEubsHsIa/SVEz+x/5/Cr5+MflqK0qR72dwXPtCbNDv D/VTuD4uQj40YNOAeGkyi/hDXqO7rGexzC9iFhtwsq1D1HpkynEQufczAeBi1CVTY/3cmSmJ K6+1FoC2TBhFLfnsNw+QbkpSMG8BbY+CB/McTHgu3Y/ZODZk4udPaBndGrtFYLLLg9mGiI2/ EFOXtaWEhC+ooKUzg+2bxG88m/Zl06Trfww6BgBiJ8zsYBATZV5w76BkbX6tKR7A9WRWV0dO pqUhtx8//ufT1XB60CuXw4WW3Cw27HQatj6V/8fZs2w3juO6v1/hZfc5U1N6WLa8mIVEybY6 ekWUbSUbHVeS7srpVFInSc1U/f0QJCWRFOjcexepbgMgBb4BEAAPeQ4/MK+nAdcPydKkuzvC JknEeam2LUtwvfUW32SHr+ZMYprzCVB+qy/yQ4Umnjs7Vbzst3lLkia2u2/xpn6Ax1nmrQb7 G0mOajifCpaKE51Y1tGnwYaiWqv5vAbzCPJRYUuyjZnRULGdH4t0Qech+QDvt2gasSPPGggB PJrRagLzAblcklVtKzy7bhl2bZVTIUM9vt0pWuIgaKclZZtmn2fUz4+Op3R+lARe0PVJrQaJ KECuRWPUXJVW5k5yKIob2K1wxYHQje/RpeMincCU4ryihwZC4JtjRlRn26hO6CZ0vChXNu6M 5t7GcXwT4jmKo5Bsc8swQYAg4r27XjtTFQOcf3HjdGrj9gVZ+QHmG5pQdxV6Sl4rtvezFrCT u/anrDmTKoSvjA7yR3Q9Tbap0tvg99UzdbJTtrFjDdHzmqHXgy1sNovTlKkvxTzWW8DZqvGW agsnMH7DI/EQZEcwWVPii6hbhesAqXnjkw7zzh3RXbdU9msJZhpQH272dUoVfxOJS1PXcZaa G5zeZpFI8OHn+W2RPb+9v/74xhOcvH09vzJp7h3Ua6BbPDHpbnHPVs7jd/hfdc23oBKha+// US+2HOUywjD6yoN7zgj0szofZODs+f3hacGECCZjvT488SSws/E+soNgMANNILRJl+pTxpPs K0zEGiYrk9RiVe3TtqSBWgSOJGoAZ5KO1qOnh/PbA6ucifQvd7x3uRXk8+P9A/z98/XtnatY Xx+evn9+fP7zZfHyvIDzk8uVysbHYHA+qEa/0YmZoSjD6d5cab+7fLIxEoIp/Spe2V41MGhq cQWBNBAPR1GeGLOayQFYgkx9fVaRFrtXAALIttdvx0gQ6AnQPhnVMH6fv/z468/Hn2rfDB8F vRZiFobeBx/yQc1BMkXQDPxDFTtolCU8zYKaEohR6b/0GBYOMZjmn5XfW7z/+v6w+I0tnb// sXg/f3/4x4Ikn9jS/l1dm0MDKKZlkX0jkC0m4FhuUMdCljumAU0wQYM3ajzKjMZy5TIS0TrT YQCYvNrtcLdBjqYELqfBNq51VDtsMpo6JkowhYmPB26LA5It+Ygi4//OiLTvQL7l+bhzeJ7F 7D8IQiw4EwoJhGWWZKMtTY1xOqjnRk/MevbEE6DYW5ns7fUaK2Dch7UGgOwJzJvyqLbQkQ4E Gh5Bo7UYoLXu9CRG9+X5/fXlCdzpF/95fP/KsM+f6Ha7eGbb4r8fFo+Qq+vP8512cvHaoj3J xgWO3ykDBUmPaMQ+4K6rJlM0UB7wvt2Ok5FxcWeyd/fj7f3l24LnsMRYgzriwkhxKXb+rPr0 8vz0y6xXd0qFbpopgAYeabN2Sfnn+enpy/nu78XnxdPDX+c73LyBuuMJmVz3828Jk1UM53KA QbycemsEsFpuj9OtMdMNILBQVo0L0HzCzgkGTiOSlW0FaRn4DZpuvYwI5KIAo2Yat7g/wikr k23UYMJpmbYimaiRdpMYyTXjqkxsflxcO7B8uEl3h6jBj930mgf9X3AIblPTJju1Gnyj8N6s rahjZ8PALaQl/XEcNekhwb29dhYvMMYftaTrYO2CA6OyeCC0B5xBBu+PfGR40nNL6aOhJ08I oSnb/LXKvKjw70aN6WM2mGjfXx+//AAxkrKN4e7rIlKiLrUFJ3fe/22RUROASHbNIgbNP6Zl UjW9TyrNJV0a+H0SrHG3sokg3FicVWTVUR4RsL3z/GJTPwgZvaXYJbdauohu1RgPDZUgLJcF MSYlUpKtlLLNIrzahuDwAzufNBFYQPoyDkM0TY5SOG6qKDH6OF7iXRuTApYPPrNEikVTi51/ kERJaqScYosIc/bTCh2zQ4G2nvD4G635u7TIymycV/heVqJbsFJxekv2ekZfAenLGjIEltGO 5wHqzR6Z17Q9/JG19IDMiW1x/MMNbf7+sviuqnZabvsJtT9EpzRDUVnoBV2Ho+BGEcUUUXMc sjgOg3MsDLc4pBgrE5VVp5XLO3rixwu+cebd9vRBrRlp9FiHKxqGAR5pLFCsWpuHmlJpNRvY knjhHys82xRDdt6SYT9YSbxmmhb4cJRRa8elkHiiKvAxLjUxg83rbpf+3+Zf6G8cZPJFnW1x SILa6nXMllaF2lCnj9ZpSSFPBNomEAggbZ/K1TWJ1o7jgOqDfnPAMzEDZ+oaEiCmNpf5pviw nxrWlZrGo+LAQ7hBUTQq6EEPSaPdLk4ttmy1ZKrmo1ERVR41W/aHTwlaUIIMKC3IxiUb3B8c ymxc94O9hlYEXDQ6/DCmLZ/kur9ewSXTD5t6U1Y1OyM0Z6oT6bt8Z4zYvOwx07Z39pNhmJie tZgRUyl4ym6NmDEB6U+Ba8ktNxL4H613Ye5VK5cG4KjL7NNQ0uQ5k3k/bHiXNbj4AwivtryI sb+xecqKHRX2ys0msDxOALs98u6A9Bmlc2+HySVqjlW4yi2hb3VtyeBvFJDgA41FJMVcQwIU iVq83wF5xQ5Li9gM6DrdRfSAdyrgmzYPXUu2wgmPrz7AsyNyHXa4czXg2Z9tvwV0Vu/xVXbK 1ZzJ8GuUDJOiTa8suFYXe9u99SUIvVihyg4qShElESxhym+Fowx5xEQ1NNOkALDVoE5BasFJ ksGQaZJF1p5RRQQE3US637aGS0F9sCFVe6qKUNN8qPDWQn97k6inlIri+kNa6vKw3DSa6IbM /cBTHjSwOD2C3/9v8xiJ3yG4AKz4718HKsTIcrKo28LsQDNcu+cRpoirvGIwSVCN6ajqAsei r8XNsAEZw9flRcv3H+9Wm3hW1gdlGPhPpnwn6oUlh2234KRhBmoIHES6GAE5Gl7kPbgCP2ej 1iJqm6y7Eh7QoyfpE7xbNFrf3gxue24L0jwcdDhEQBw6K5aywyAt++5fruMtL9Pc/Gu9CnWS P6ob+LTRjvSI8JMeYRi+qcNgc/YSBa7Sm7iK1KdXBgjb0oh6F6DA6yAIQ6TrDZLNxPKEaa9i 7GPXreuot84aQr12VhCeu8IQiYwha1ZhoKk0A0F+dRVjlsqRYFerNkgNzCdemiCfbUm0Wror pBzDhEs3RDtTzMZLzORF6Hs+WhhQvn+pMNtD1n6wQZgqCMUZqhvXw7wORooyPbV66o8RBdF/ oIdilyAj0STEzzBtdYpO0Q3Su6wETJw5omILeYkNR+H1bXUgewbB0Kd86fgO2gVde2Xx1xlJ SFQzAR8XMEaiGA0+m3q6verrQndOUPYEfJceNgSIJr+y7n48clqTxgWESzcRSQmaQk2lyWrt cFVQu5ZUlpr3UclOJ0yuUYiuYvYDrVlKheqYSCxNmyzK2dHHZB7cYCbbDQMuNtILVHD1jvDY FNnSfIoGQHpcDEA0HwQBKWKDZuv4cwhvSGXAvUT6MZj0rjuDeCbE18wNEoY9gCJQQTAcevvz 6z2Phso+V4vhZnRQCHQuEZ9Gg4L/7LPQWXomkP2rOzsKMDuetYNAQJk2VdNZFU10Ul0+ACR1 u66mPRRQZozAS9Myw+Eaj+CBepBrALuwFZU0RNaug+sYgYrDQWX+YHTSLipS41UQCelLyo5L BJ5r7jrYkE2+KIjIJcTGr+fX8x0TbOZ+bq2are6oPvogblMg8qqkItUTVSkHggm2P81hjG4C Q3Iu/UlVSHmzCfu6vVHqFg5TVqD0z/SClXIdyNNNQJybmRpShhG8Pp6f5jEDck/hPshEezFN IEJP94Ibgcpbd0NUC07nroLAifpjxECmK4NCtgXNC9vLVaJZ52pIqs/GAV4webIgMY4sG27f gyxcCLaBxLdFOpKgnKcdU4Dwl7lUsojWkBrrCHXhvCQnLaei1js0t4zCyVz2I++tF6KWfkkE 8XCGE0/58vwJyjJqPlu4Vw3yzJSsgYlVvs2spZHgEoIkyYpunH52bqHX8qxNZz03IKaRdA0K /TBTgNbpRLMtvAsy71hKSNlZzEcDhbvK6Lq70PFyV/6jjXZyLpiVSAqr4XnouW236laY1VAS yPOBHQ/8Q/OVpxMM/XGB9YbMBgDOB9b3POvirO/5wwE1OuU5Kiu3edqheAJmYR6UnO0ywna1 BmnAnOjjRsB+cOv6ATa+telRMMb0aNunWSNpm9zQlyRKvIRQJkK5nAwR/T7JLVkEmGAh3kPa H/v4Bq6LbbaOfkdR1wsIKYBTTRUhxVNeTCdECuyPZHr3cDJ7MeghiVEnM9E4nglWF1X5s11o yHdda+q79BsYluCk1jNloBcvYiqiIIfCdsVD00w4fxqMx+mjGNo2RgY/jhQ2Z2Hx20Zo7kNO RzWPdQGilrwRHMvflk8qPH0WcAVP5FTbrdboeMaPJlaIFOiad/kAFK9yZlWRYpNhIoujpa/E p08ImTgDrZuwqa3rMtIwzz2p7uxSFTgfchOEeixDDgnIm7N0HE3pnOBLdDsjjbfs9FEYspeg y9XK3lAj62st8on9vhKAaXUdca97nr9NLJbJ5z7qBBwiqzWxjM3kHX9dWIwSphQS9lcrvHBA Rme+Yhw6fXMg05ITKMCeNIGmFg04pskJqzruDqRQsd05K1OL/45KWB6OVYse30BlmPABdGQt Bl/e7gbjkLa+f1t7XOm8+O2R0HaHyw64/CY271iGZ6es02NYWM2BtjwF45jDQ5gUGVtzg66q IEOncPsG68JKB4+JmKfJDFD+2ChqyWXYgltVRazOj6f3x+9PDz8Z28AHD2XFmGEHcyz0MVZ3 nqflTt1lRaXizEKghWbGleC8JUvfWZmsA6om0SZYYgYzneLnvNY6K+H4nHPRpDsdyFNV2umL vCM1z+46RRFc6iy1vMwjA+qTziEttOBP3q/5roLkuTMga+JodGYfGxVVSKAxjdA0g369vT98 W3yB9BoyAvy3by9v70+/Fg/fvjzc3z/cLz5Lqk9MMgfn/N/1ISaMuUHu0MYkSeHxZp6wBnNq VSjTIj16epvnk4JPIzVAURfG+AjUmDUJMBW3heoVsq5StQ8F01z5nVk3zYrW4vQIaCHFzi+a frKl/cykNkbzmY0j6+fz/fk7X++zawDos6yCi62DuY6TvPQM7mXoqs54FVft9nB721dMOtBx bVRRJqAUesVtVt7wuBe5tKv3r2KeSm6VmaFee1vnljZv20Os80DzSI3rHUEyMGo+gyATj9Wd aiKBmf8BiW0DVvfRkS9fj1ODDHwMhqTwGI7uk4JX5O9ac2OCA9F23Qw4pLiMjRbmE3a+FOc3 mDuTX/38NolHUXDlTVFnANaJCAu2CWvvlwKMbSVxZHjzAPjQghyYYx4n/HSXbo3ad6Zlryk3 gDn1CfrAnkTyNEVmGTbxLSWYFtyD5ob0MuwVllJ5sXb6PK/NIvzF2BoLwQdsJVaKyR04SMGl uaUUU8TDjK4cT+8hqdrr49ypEfUA6aSvmAoS3jcGE7c35XVR97trO/vgnPtNmUXKkTQPlAJu Dp1KX7++vL/cvTzJ6WdMNvYn7j81rqbQADwTAdC0ebryOsdsEN8SbNPETD7Ac2CpGqMly2Nd I+ng2npx9/Ry9zf6jnlb924QhvB+kn7Bo7oQSMcjuLO2podVfAnO9/c8gRI7EfiH3/6pORPN +BkVVylwTIZpmVhMInqen1J9DzIrNflJoQc5ZXjgTi8B/4d/QiAmJza+pcpv490t+Yqov/aw FTwSdLXnKPfTAzyJNs7K0zw6JKYgtedTB7v2HkjghRpVoR/hnRs4nd5mDm+LLQKuo5ztyZpp QWIqkuaVxY9UkrBZsy+jXYSdF7A/aXZWCeCPQEAiwT7PCibeKY+hV1vDuDMUyZpr3W9HDI4p kXHxafbKvYqU4z0K+SLhybfz9+9MCOQ7KuIDw0uul13Hd2+0QziJOJFsn54OEr1UcjLS86rI bQv/cfSHfNSWXBI7BV0z79J+n58SA5RXu4wciQEt4nBF10qIu4Cm5a3rrQ0ojYooSDw2Oar4 YOJuKPs5a/tcotT6s0j6rQzi0J9PwAZslPc59OHnd7ZfYQNpdyiRaPXRANGFp37Qd7ReAG8H 1Jl0Qnud2aECqieOEbd5oLj5ZldLqKTXGeC4tZWBmmzDYDZ2bZ0RL5QTSpEPjV4Ty2ObfNib TXZbldZJHydrJ/BCo6kM6oYcaiwFXBAS87P2N0vfaExeh2sf6+L1KpgvGbHV2T7Q1pQVClez YhwRrqzTlOM3rjcveF10IZZVQWClT8gvE7pylnPeT0Xomy6qw5qYj9Io1cxGz9jS3NXSXNtw k7RxuxkHYrpjpgeBJr4fho45fTNa0cZoY9dE7pI7LEx2/zmvwlmOxtgMlKUQrDk9d7sm3UUt Gucr+GaCj/og0ckdDgf3038epeY3yYSTY6Q7Zuqm3nKDrUKdJNQmiIpzT2ja6JFC38AnON1l ah8i/KrtoE9nLfsCq0fopRBNpRgHRjg1DLUjAlrjBDjLCkVoLxzyHJwgOn9Ui+sjnPE6VlqX TAjPt303/JhpdT3qCFfd/3WUj4oEOg123qgUgdPhDV2HFpbWoWttaOrgfks6kbtG9xN9vozy Ilym9NFRkaZ5XA6p9VeTOBmkPcMUIoGFt+Pym3kpAb+QRrxOIkGKy2BSIooSAu8GsBWCpl2M unDjBaIepWf5/iqh6n0eZD+2f1N+pw/DughXDnZGgMV5B13H5A5npY3ZUDoibbhZBtgpOpAQ dtjr2cAGxMlzXGxeDwQwVVTPVRWuzi0NjrLJMbiL00CSp7uqT4+Yl+hAQmP13V7ZOQI4Viei 4Dj4Qk3xtbfuum7eNInQc/SYyH1yjfXngE7a/sDmGxt/cDu/MK5MiWMKF9K/Bpwrgd18hgGc aeDbQ8o03OiAPj0y1Mkmr7s2xAMDhwlQGonnataVoRkZraE4OroDDV87Dja4A8Xk6GogQFJT NYYBbqpw06f4DLjITt76qwATSBR+3WWwRj6bpPJpcE6yClY4D0KQ/LhPNuuLNGxOLd3g0ubA KTZIvwHCC5AWAGKtO1coqMD4HEoTbi43jRaxv7zcMi77euZBYkw7PqvhVsvboFdXQ2VNyzbB ABuJA6Gu4+Bbz9gioWp8QLPZbCzP1uxPBX6zCuJRpAUqSdDw1IO9EH89kL/Fpex5Ay4tUsZU Ca6G0lGBTcs8YsuUTk9XD8TVdl4BJBjmbye2TVYjHxjyhu4qyLSU1v0poynWDpVwG2WNSJOP 3wgjRfgzCfzl1gs9odc9Z/ZDJoEADPj8n4u82XmaJkR9GMhRfJIet016jdHMRvGQG6+CDij9 SQJh7FOmEyK2DMhJEpQuLoqgIiGzBC8joqxO0U11wOSvkUY4/vArd/mIa4J8AgIsuJmX1aa9 JTMQzGxtXOE4nd/vvt6//LWoXx/eH789vPx4X+xe/v3w+vyi6qBjLXWTyo/A0CF86ATwHq4m jFvISjypp42c+zDNe14lUyd9LTM96i22hT/Ratsig6mBlS8pUpnY1dSy0ySFGeWjblA6jXfJ VUqYF4bq1fzOaXnrrDaXykqpWSktEdLhcd7i2yxrQAHBPigtpJc+mJyQj0mhA/kaJLz0O4wP 1tUHlAnaQpSMe4kJtmquGJeJOkwDaHr3UY6k/z9Td/aR58pyg3Xj05fz28P9NIHI+fVefZWH xjVB5g3Er1SUZvrryzTWSeR7Lbr9IIbHfOeFAawIsUAkEr+pr/ZyMBV571URlL8eLD8GWQNI YXlXSyXE7y9j9XniyRPnzx/Pd/ytDWtS/m1ieHIBZNCsDCj112q4ywDz9LuYgu/KdRB4uJzE i0WtF66dC/lQgAgcs/g9LtOYP6Da5ySx5JHf8iCvYONYQsE4QbIJ1m5xwjyc+Ee4FqJ41I0w qS1ptRXgjWVJ5FbwB0aZOmBnBtCBZ3UaU0hsDmgjCabhDsiVpw+l2Bf1NkptTKfTHE4AsmP6 Htxv0n6nJ+LgnUFcHzTDS80ZaC61p6i9lYelsALkPlst2SbBI/UmF9IWfGFoRjTTFkDZd+rc 8qoAqy27pivPPj5XaXGpNDdqoBccEzbQO3Cwg+gdrehhxvQCBcuzfUEx5M+g4QqvbIMb40aC cImprxLNFKL17GNgLUKAm/VsfnAwZujj2Hblr8ymMBhST1puPTe2vCaR3nIfP/TtFNgCuZ3I qPGYweMKVYQ+ogsEcBqahWqyDdgysvdn0wbOJTQJ2iC8gL8KHVxb49gyaFeurTNpSpDNnmbL 9arDEEXguGb7ONB2CnGCq5uQTVst3i+Ku8D5YLenbVFjmhDHiXtQg5UWvFd8P+j6ljIhCHPw A7LxCkwrDJYV9DpT1pwXB7035I3/pK4wHd51/kvZlXS5jSPpv6LT9GX6NRdRpGZeHSiSklDi Zi5afOHLslXlfJOL22lPt//9RACkiCWg9BxcWYovAGINRGCJCJQTH3EY5tLrngBDaj+Df5M4 SJvp5EnJDfbcUBUoWIHpkE9vMwSCFe0RXcrR2jbjuR5ZzrV7t5xrV1tzJqq656gg2h2uEQMB 61ObIpNSq5t5PNmIxT3twW08RCRmwil3vdAnM80LP7gznbvED6K1tc/5Uaf6rdvlEE3REifG +udHsr5yEhxaaAMu9dplmHvUQ2Re6SJwHU//IFItA1zA1m29G2wbWQAuHcf8YOS791WDkYW+ 5DYx6AviaISJe/FmIendLi5jq30hzuLJZ3Qyi3qIrybWkdGCUmfBdPvoVgBuBbY1IUrlO+U2 tX8243a4/aK8Zp9INyvCALbsjC9Eq7yLdxnFgC91evHsre2LjMwdd5j4BtPM9WxygUK0QxlD Q6grhRSGdku0CmwQN2koLA38dUQimsmjIp5HpplshbnTbhix20rx8NFBZG2oKVKvcY3+bsa6 gq8gnuvQReYYJWqlgRGXgR+oe9AaGkXUwjAzqZf6Z7pQ7OmSCewY+PezZm2+9p2A6kSAVl7o xnTBQbSvfGqKSyymsJZAUDxCcvBwhBw8/MDHMnjEik7KJZWJNPskFrEokZ8HaBWuKIiyRlQ0 IG/tKDyaYaJg0Wq5tmYerciXxCrPmpYKkzVig1RdVQNDyvDReNa2z04WF41Fjv3DgHrvtGZS u9CYHtmadSC8HFGZ11EUUHa0ykIL36L+EK49x5Iz2GUu7Y5WZfLeaVNgkT1tqMg6pBDzPq6E JTFI/vvDp972HzH0DlXp+gjSa2WHIju0tjRVTd5dmnF+R2S8v06D6IvnqDz+mhlQyaDorVfU sUNKJIRa1yJo26CIwlV4t8SU2Seh+Q5djN7vA0MDkiDI3FnFZMkvUYTPb21QWFIQmBCBCyOR 7p7JtrtbXGTylM0JFYO56duz1y1BK5sqVG1srk8f82pstjNnnW35S2Wjb3dqTIrNJ2H6PU5J jVTfM8zAqMYT4+NmOtCTJY83bLNRhmZiqNAjkpibJOgek9PxqpXiHIgz70Nf3QLnfrL6vM0i ZCC+wd2jxqxs93FanZBJUvv516Yv0WQMwdGp7hAmfJM2R/5QtM3yLDEDGBTXz48Pk12AIYnU 4CCiqnHB43KJj9GGEGeMyzivwHA+/gIvusDAOLm/xNzE6Hb3fb42bSguhWe66m/2nsD5XbUZ ky7NGy01JTyyNONegfX+gR9dg84Hb4+xj4+fr6/L/PHlx78nF6JSHDOez3GZS7rgTFPfbEt0 7OUMelndGREMGMbbfhVQ8AhDrmAld99a7khXgPxLRVZ48G+s6pwNYiICcw45JfB/1iy2p7JK M/nZM9Uk0ticQ+SYDaa3Mkz0Dz32n2gLOdIalIV33JeH7/x91ZW/yvpsfqS5/vPH9e37Ihbb B9kZo7WiK/k4l29NWwsnT6vb8ZoIFjJFzn58+n7FMHoPb9A8T9dPGAoEivW3LQcWz3Liv+m1 RWFhDF3ekZt+6wlZ9WzSiVHF6dCdIhy9gWDQXGxatiPzK+IczB0JWubz3Jr9TysjjYhuoQBD 0jKvoVYRk60765NE+KxSBianFz29fAnUfD0jj+t5yIsa0cNaCA3C6fY4S5nlGGKC4a+1zpDY K8xKHVkC80jLVhVVSuB5Tnp4+fT49PSgBLrmcPzj8+MrCLdPr3j//z8XX7+9YlD3Vxit+GDx +fHf2sV9UYjuaNs8HfE0Dpe+Ic2AvIYF2qxUl6E/1oBaIyUGz9EzLNraXzpEhknr+5bzkYkh 8JeUfTzDue/FRg3yo+85MUs8f6NjfRq7/tKoNOgkYRhQVH9tiPvaC9uiNkZ4W5WXYdNtB4Hd OvzXuo/3X5O2N0Z95WnjGLS4SM5ZYZ9XMGsWsN6EbkT0hAAoS2/Gl5E5p4G8cpYWMleVfppQ ZDb/SKZSbLrINboAiMGKIK4M4qF1lGd845DMoxWUcRWaTQHNHLrkyYiMn4npgRs1IXn2Os3H OnCXVEoELHdwbxyhdjlUxU9eZPZDd1qv5RjFEtVoJ6S6xtQ91mdQl80ZHZ/XHt8skQYdjuUH ZagTIzh0Q6IBkrMXREv66Zc2oqUPXl9un6H60KNsYAmPAss8CO/1hOCwyyTEffUEUwIsR/cT x9qP1tQ72RE/RBE58PZt5Om+E5XWu7WU1HqPzyCH/veKsW1FrFa9t/o6XYHV5xriVQCRb6iJ RJ7z+vUPwfLpFXhA+uGBB/lZFHNh4O1bQ4RacxBPAdNm8f3HC2hoU7bzyzsNugUqv8Jy+3J9 /fHGA/lKSfX2DX2H6NIi8ELyrFfAyjHpWDn0lVyzdNxMlAIUW4pye+WoFVArya51VyuPHAFG YknjQCwWfmzeTPVZQUUo69fXpzf0gwCG1vXp9evi5fqvxZ/fQM2GhEQOpkYjQmB+e/j65fHT m+m0IpVf6cEP3lpDumEUVQ5JgdS0Blv6PLm/0jD+mB7M7C0qg2puh6IdnTaZ9O1mguRLqQBu uVV3uxlN3eMELvT1NYBhkIIZ1xTcmYqWDxSa3nZAcAeqLb+lOBVBK50Nw3TtHhVjCm2TfXbz I4JHtaN4WIwBralhhumEbzFYh6i97omhZbny4Haio5cX1CzXkSLBDNjyAPheMYWMaQrTcSBv pwoss1gRJhKrWpLjjvR7yCFob7VWfZqrhCaJG7y9u08LRiD5MdVyGP1W7upepddxyZ3cTUEs vz49/FzUIB6ejD7hrEOMmYFxA0OR9FYqcbZ9O3x0nG7oiqAOhrLzg2C90rtEMG+qbNgzPDUB OUfZQCprd3Qd99QXQ5lbMsQmIBfAmaVlRf1OHbKcpfFwSP2gc32f/tI2Y2dWDgco0QAm2iYm lSeF/4IPL7YXJ3S8Zcq8Vew7KdEvA0MXwQf4s/blM2WCga1hwU7oArKyrHJ0QeeE648J9Sxy 5v09ZUPeQcGKzAk0d5cz14GVu5S1NT6vOaTOOkwtT92k/sjiFIuadwfIeO+7y9Xp15NAUfap G5H3PKUOFcEphjxdO0tL0XOAN44ffLC8f1I5d8sgpPWoma/MQKbkoBNH+9xyzCUxV0eMqCQm g+W+DMm9dlybLBS8Vc6K7DzkSYr/W/YwJitqyFQNa/G53n6oOryPuo5JrjbFfzCmO9CXwyHw u5big//GYIyyZDgez66zdfxlaRs1TdzWm6xpLujH6Z1gD3KqS8pgpjfFKnTX77WvxG0qqiZ3 VW6qodnAeE/J2wLm2GpXqbtKHaotZpbM38ce3QgS08r/3TmT7z8t7MV7n42i2Bng5zLwsq3j vluCKI7fa6I2Y4dqWPqn49Yln5DMnKAM1UP+AcZM47ZnxyULK5haxw+PYXp6h2npd26eWZgY RgNlZ1B0w9BaV4XpnaaWeaP10ZIj7rzEyXnpLeMDdW3YZA1WQXwoqDp0Ne6BOV7UwYQkazly LP2iy2JLJTlPvbNdv5MYmz6/jOtwOJw+nHf3F4Mja0HfrM44m9beek0VEMRMncFoOte1EwSJ FyrmhqZRyMk3DUvl62LSAj8hilLCpvhei823x89/6boX97iYqk6vOX0PndpBrqhOkvGWuGo8 LmZAKoWfUKWqqEwMfJtVMw4wtsWe1ejSN63P+FRhlw2bKHCO/rA96WUpT/nNnrAUBJXTuiv9 5cqY602cZkPdRiuPEC03kPREzVVxhkOcQXItZyCuHc9QlZHskdFoBIq609RVSn7dnpXoBiVZ +dBuGDRNw6t2zzbxuImlK/AaGt5FIw2FdWVbL11j/QGgLVcBNDt5FWlKW6eu1zpuoOYqDjNB LsTleeUv76AYttKCpvVvhp2C2zSB61oBdYuSD9Obxq8adoKsW3fGLDSnkJx51pXxkR3V4oxE 850tr12T1DvNoCjOrcoEhO1GL/GucL3eJ5+qoNNMZNmfIz8IJbV4AlDZ9eRrWzLgLxUhKUNL su8njoKBGPY/dFTqBgMbWLwnTDywaND33CSG0A8avSVEeBzLoMzO4lQf70VkbddS0hL0OTyT xJ2B4UPPmoOmp6HDv9EN/yhRt98enq+LP378+Sc6g9UN2e0GbH0MwyfJZqCVVce2F5k0f2ba cODbD0qqBP5tWZ43IFQlfgEkVX2BVLEBgB24yzY5U5O0l5bOCwEyLwTovKBFM7Yrh6xMWaw8 IAFwU3X7ESH6BRnYjk4Jn+lAKt5Ly2uhHLRuMYbCFvTiLB3kl6X4oTg55Bi7S+EuYCEad1ta hR1NcqxqJ+JGmJ39ZfK/TLhlhPTHXezSt4oAvBceEOvlpvytnjy+kYzPgiwpijbpt2elamKj Q86AbUBanLtlYFHmsdjierkNLqaw8XQx0Cejd1aLMdLQpWamdfEE2d4dAEvdYDgMBvOW2mDH moNh5TuhrCiRc5J3z+bh0/88Pf715fviPxZg3Fkjs6Lhxy9cjBE55gohki+3DqzEXicf0nCg aEHu7bby00NO745+4Hw4qlQhe88m0Ze1CiR2aeUtC5V23O28pe/FS7mPEaC8bioMYLL4q/V2 R+4HjtWAgXbY6tUTq4hKA7vXhwVEfp89zTO9BW+FmDm0K5oEx3ivmCjpzMOvn52UYKQzGKd4 0daxQqFDF+2O26yZid9ed8jKc2hNInUUBGdLg+DiQjpqnXmkW6AGZr5Uk6or3lkQyPgwgChP fgw8J8zpeFcz2yZduQ51bid9vUnOSVmSDZIpERvemaRTen6CQotvrteNMjt5fXl7fQIpPept QlqbUx7ktRQMbD6nAY0ClAHuDaNN8EKUxTVg2hfFxQwnppDhb94XZftb5NB4U50weMxNvDVx kW36LSxoZs4EOPqOwghMRdxc7vM2VTc5h5nDodxvrNvEr3aKZyz8PfB9MlhPS+rmisTBF0ZL 6iTvO89bkoq3cfo05d1WfalcUGpLM/jhnqVmn+9lDQt+zI7gugbscB6tfkYx+ubtd49pn+W0 k//myXH71+snjBeGHzY8QiB/vMSNQzWPOGl6RTLciMN2SzQrh+taiT+JpB6DwmtVy/IDK1Va sscdRP17YITDL0qN5mjVtDFr1HInVS/e5ygZFXES52T0Ap6G37zTCnSB9b5tVSI0/K4qG833 0kzVmkYpQoZngbaWw8u7atQLTv14yC7WDHdZsWHkY3WObptCb85dDlZF1VOqHsLwMb5/qxfj cKF0LEROcd5VtdpGR5ad+Nax8fVLYzvoRJjh5T89Detsn/493jSxzt6dWLknVXRRvxLdwXeq i21E8sRwXimjmTa/8qysjpVGq3ZsnEVq1iMdf9T04nVjsYwexJu+2ORgr6bePa7deunQgwzR 0z7LchyE5uzYscQIcK0w5KhsqzUu4ovh4wbpYPDwCWHLi8HahYuYUQrc0Gsy2yTFsMBsGp8S veyY3uZgXKvBWxUUFBvc9oC5YJs7ddbF+aU86yWsMahjYk2VxyXfalajuHMIV0FKf0MQZBjG 9X5WaSIeu0rE66/oSk8jd1lsTHUgQl/DKpDRx6Wcpy/r3CoNGvk1Ep+/eKoTt0yZdTeiXba1 oAB0v1cX/JbcojLdnrpjx0rvB5A5bUaGuOXoHia50SDdHsOnWeP2IEuP6+pQt77avifGiqoz RNOZlQUd5gDRj1lT3Wncj5cU1lJTEImg48O+p0xMvp7mtXKtiVrbbz7BVU3j9iEeFp68kSwG eSrrYXo+c0AxSo3h0cvUDAzeW+hsOVepaNU+YdJeDIYRkvZLKQ7VheCNQ9m2UXHjgj0SMcxO pTH2OY9+pMxowVuWNrcoiPP47Pu4HfZJquSoPxyKyxKUxiQbyuw0Gqimr0D1ehd2yfxUQslt 8quGRggjo+1wLhE6RzwJafUSVR062avSPulyex78zVEPIqlMhUPO3zwZLvjYnkfi69v3u7Gq eJuuwrPjGC02nLEzBVUpKKenmx3t5+fGUcM/0KGzVnbnMqNG3DeEsvmTOrVBb5AwQYeu0wvE 8a7DruQ3pEjpcGPctvTelvx9Hn+3omSjyjVXQu3Kc++5zr5GJkse6NHYXZ3Nym5hHEBiquEx +gH637LnWk3t90xRx1qBIUDMWgnP7+MWUHHwpyYj+7p3fc+sfptHrjtWQan8DYCms81+wZMY UqOJ4tUKD2m1llNFc8I92FE7LxOMVXzWifyNCu5C/DY7TpxcbSZPD29vpvHHJ3KitccYNFkl ntJCHwWd+uhFxGyHhfK/FrwJugq0wGzx+foVb3YuXl8WbdKyxR8/vi82+YFHa27TxfPDz+mN ysPT2+vij+vi5Xr9fP383wuMlCXntL8+fV38+fpt8fz67bp4fPnzVZd+E6deKmwI9vzw1+PL X9INP3VIpwntxI2DqLKijqa2AKP8ssjyLC1b6mSaZ8l7LW20lU2Qq/bm/LJ+evgOdX5e7J5+ XBf5w8/rt6m9Ct6/ME6eXz9fpVdkvA9ZNVRlflFzT0+Jrw9JpPFVzrZWIG4vkRDki1ZXBG5J YRqLQ2V1PAHmGYXzlA/tHj7/df3+j/THw9Pfv+FWENZz8e36zx+P365iFRQskxaB14r/uL38 M5ZGzN/+VPLGgrHJD9DlbZuluNlGqXC8d/d4DVs+mpKpU00oqGgLSyJWnC3IvKWjyW4laoFE NCXaDUCHpY3YwLtND95+pHzo2zb0tG+IiOuawBRR2BNz41JCx2pYe2BkM69wUlwxaxJ0ymwT wiNXc/BddZtPQsVe1P0ckr04fjaR0x5Mt30WdySKT6BBvCYZGO6GsjnlXcMaezbWmBEUe1BD QXkQkviyos52ZPbbLsUokxVZviMsYA2ZjNXxBzIJayxFzdJdZn28TfCBXfce6zZyPZ+6c6vy BHJoK3moxWDBlnQt6hNd7b63DJNDdmlrsDTqlPbzarLeL/chbxlZtEO1wQs9CT1aiqQbek9+ cCmDeCBKI1UbhqobFx11gymO8Hv1Q3bjpRXBdu5/JbcyPhbvNVade758AChBVcdWURCR2Ick 7umh8aGPczWmqix76qSOzgGNxdvMCkADpmmmq5GTQMuaJj6xBmRB25LFbS/Fpsot06uzLc83 SbHJmt9h4SK/fgZBWRW0BDuptx3ktq0tu7UyT1GyMqPFH6ZPKnoGnnGjYyjoUX5i7X5TlRnd TG2v+O2Ru7Uz3HKMSF+nYbR1Qv/dYWsoCLcVUrXByaUyK9jKKAIQPfr2Bde+077rqZ1BUaZj K4edRxrGDurG6Dgy2bTSptUjuYTJir7tLtj4JTCbeZjyfWH1Y3xVAZtf2yvhxz/jlcs5AacO xZbxkKYixojRTayFP0fy3iqvnVE50NLKJDuyTWMJW8cLX53ipmFqeHieWotErNnebdYJa2rL zl1Puo0RChWeGfP7oBL1Agk0LS77yFvtrGm8uIkAf73APWsW675lCf6PHzi+XvYJW64c6hYn by5WHgbohEzcL9PV0LhqYZGSt2fqLz/fHj89PAkDgx7c9V4JRlZWNSefk4xRbtQR40ETuNeq 2Y1uvD9WCBIkoZluLtMulqm++uOFcGlv0lJ0tc12Magd1E5Wd6kzxSEoJwxdUlMTQoD71G9b 9U3zmIr7P4rOcst2P79e/57Icbb/kV7lqNvtvx6/f/pi7qSKLDFCc818HApO4Ht65f+/uevF itEfycvD9+uiQNvK6HdRCHwVmXfjzoLWUuWRcc9AAidPy9//ntzNaJgM7Yl16lFaYfGwUWQF Bg6irkHghirII2nw4S9xFUi6OXSjCQ83JMLPnpIqrxT1lzNsGhQCJQra/QknV7nLzDN/YDVb l6e/+YJXvxvHnevJoa4EtfQdL1jHRini1l/RofEEjOHvfC2zTVKsfNnx6EwNIuMLie5OXYMb x3GXrku/F+MsWe4GnuPTbuE4B3eu7Bif5mT6WdeEr5bv4GuPWmRvsOPqHSAcFxplEZGGKauE w//H2tM0N24red9f4copqXrZET9FHXKgSErimBRpgpLluagcW5lRxbZmbXlf5v36RQMgiQYb clK1lxmru/FFAI1Goz9M8yXZAEQkp3h1j8Vx9BQ4CHY79SZhL4sNyoYuBuZ4FHSUSq5H0rFP BboPxIZLpXHiuD6bRHRwcVkzGflQoIaoxMYKTF0jVKYca+sFluAHAt8mMUTZs7XWFkkwc3aj ae6ClJrNERnrzDUZ/GVUdt2mLl9pBjRnnrMoPGdmtq0Q0krVYBNC0fn70/Hlz5+dXwQLbZZz gecdeocsvtTT39XPwwPoLwajmYNUUJrDL3ZNthwNHqI22780gyexO9IyQ35qEU6/e04jdnNo CRne492pdbv0cfjxQNiy9BzhHNp/yPb1+PWrYQ0tq+Ase2nEeuopQF8DWX/ABZe2vcn5v+t8 Hq+px4+Mb4o9X9TwvMaSZqPJOQKlB57T4ERNTZuAkf9QHgBl4vhh5ERjjDzWEGiVtBW7o4Gd LexPr+eHyU86AUe21SrBpRTQKNUPAUjsqlXArrcldoyXwYpaPvLOe0U7GaFEvm4XMnWa/rF6 TN1UtETQU/C+WgkgaqJ5CehftqFXo8O6KzXO3dJh4vk8+JIxj8Jk1ZcZBd9FZE1dliUDnjJh X26B75NszW8rdzR+6pufccBAtq2Ln4qThVMy2rgiWN2VURASQ4fcYjMUqnNAqEQyo9YIQ2ua xsJGNBoRkflCvxsWJB4Kza0QOSscdxLZEK61iBuOx7rj8GAMrpNFFBhBY3XUJCQDJ+skHvXN BcaKiKhZ8p0WB/XCGHOBGESj1Ac94sZzr8dfahwMtuugkXSlLzAkITEwjIuGs0k8Riz4eeCR Q2r4piOjc2kEAc7trBclPQA6gqzkAvp0POJmy+ERWSXEjb40zywox/WxlG/4qDfwrfPLTAtm cebZ5ndGHbaItxCrXcADqkrAkDHMEAHxkQA+o1lFOHNCci5nU9IPaZgwX07lCB46DtGU4Ac+ sZIlHyN4Mt9TruN649GUST2dGbteeIGuU5Xkpp87iHv24cGTMs/1rB0gGalYdbPEHZ1y/Rvu xRaTsiL2Ip8lNyKYHIcHRkRxDRN8sCDCKNgv4jIv7iw1hJZbBiIh49wPBFM3Ciyn4NT/uP5p 9DdoLBfRgcT1LUFVehKRt+MSR2ivnWkbE4dT6UctNTcA98ihA4ZOD9ARsDJ0fYIBzG/8iNoQ TR0kE2LLwVqcjKsZBflW8C9365uy7nbJ6eXXpN5cXq7dEzkxShVX9uJnX7T8L1syr/5riIwE F0maqXeRJcmkLs+DLwg7vLzxyx4eW19tCtklaatAjppvFuOoyexunYBLrZ709FZAkS5ZFR/3 VCL2ZbXNBv9gvUOA7QKhUeYRimSVxXrCbR0qLhRZqduJGqPpSsWbXfekoFsBp74/JXPMQLRO XW6Tv/fi0jX5y5tGBqKzXRyudyVvlCV5vreYerdOeO1pDF+9m/Yxt3qwDKTTyKYNcFOJCQqG diVCKhD3Jb+DGpZMPSE8oYC/4xzyndO+ADoJpTzS8J0Jv96L4aciROvGEg+40QMka1DdNFeF Kyuz9WYE3KY10msq8BzCUJODUAT5ut6g+3TXSEl3VDaj/QJrEw0iHiHyqi3mJrDJdYt8CVND GRoX0HVG36ckVtjB2dHQJ6rjAgm+E6yze5ZBBjoeWR4fXk9vpz/OV6sf3w+vv26vvopA57oF eB8u8jJp1+ayye4M42cF2meMug+yNl5KL/VhLUL0PHq8TVsU+XzE13I+cW9nZa5nxLF+eDg8 HV5Pz4czOgNiziOc0NWtBBRIBQzrAvfh8rLOl/un01cRk/L49Xi+f4Ko77xRs4Vp5IR69Vya wHVfqkdvqUP/fvz18fh6kKnb6DbbqYcbFQCV3M8AdpmJcXc+akyeNfff7x842QtE0P/wOzj6 ec1/T/1Qb/jjylQAIOgN/0+i2Y+X87fD2xEdfnE6i0hlu0D4eqvW6qRd6uH879Prn+Kj/PjP 4fVfV/nz98Oj6GOij1JrOpiZiR5VU3+zMrVgz3wB85KH168/rsSyg2WdJ/oXzaZR4OufVABw 9NcO2OV17Be0rX6pYDu8nZ5AnfzhrLpcrHfQev6obO/gQWxXgx/sOwdLtQ0eX09HZKAZi1ij tLq1WpOz0NViNiUy+KIXjjbbL9NyamS56fgZ2y/qZTyvKv29eZ1zAYXV2JEUQnEsKD1IxxOh kqYqKXbZxVIhh9gR0U45HdaIGNKDqyUFrGrwDqe6YnN17PDgXEwUu2Br0Y9fhI1KhanAqEvm 01gHp1OZ9p29LcdVGblNO/Amttib9QSMcquqc9/zBqPjtz8PZ2Ql3jl9Y8xQ+y4v9vEuhzle 0A5hizwrUuiATSW9rIp0kbMVJW5CBtCk0Ay7+A8wnudTfL3RfW8VIcQp4QtXE/7lQ4yqZDiX OemKpbSf5FDkkhYVU818fLvWsCwPPJ+6FBk0gUP1GlAOCi6CcT59n8ZEU+qyoJEkaZJNJyHZ PuBQRkEdx9wJ5Lqu6Z73eda0r64SD5PVERkmNWyvH6UGST+1agTbxDY/9vS2GpFKI1Ti9+PV Ld+Na97t65EclzydHv68Yqf31wcyNJFwqwALd74F29Cfk2yerKTrXRnnxbxCfrp9ippytaEf +CCVVrwveTlivKpGw24q519ho73dSVYBh+7x4Uogr+r7r4czOB5ovhAD7/iAVD/toCXxlrYY 3/ibw/PpfIDsH4QaJAMvVXgW03QvPYyvYRHQXDvdR1XJJr4/v30laq9LhsR6ARD3Q0rXIZAi GM5SOCz/sGEAYGL7W+PQWdSp/sSHaBtgU9vrwU/vL4+3XBDUwp9JRJVc/cx+vJ0Pz1fVy1Xy 7fj9l6s3eD//g89KatwxnrnczMHshBUyndxBoGU5XuHh0VpsjJVxoF5P948Pp2dbORIvZdpd /Wnxeji8PdzzpXRzes1vRpWoL3WzyZOE3xq5gETbaH1Ul6js+N/lztbNEU4gb97vn3jfrYMj 8cP0Jvu215Pvjk/Hl7+MioYTOF/vOH/b6IuGKtG7Tf+tBdFLCCIj2qLJbrreqJ9XyxMnfDnp nVEofqZvu3Ca1TrNynitmYbrRHXWAMOKZeIsigAENsaPdxrdp9i2lI4Zy7f9Hul6PvLAHQa5 z7bZWuN+2a5NhF+0qCD768xvAZ1j4agaScwvFMn+syGAKtSCxVxUoPWsisTiWK2wVGriAeV5 Aa2lH0gshj2KYJxbtkO0azPJDiZoWkggHBNFWRkEZPx4he+sZQeZAPK26W/5uY7MQTEmYigh gn0XV2lOkYIC1gaXrIHEglXjKHU74K9B3gUqDFbWNVxUUD1EWPnngpFl8GC6VhnskJ7E1UnY LRHTTSFUgdEZ+pEKyfnNVCFNUJ7qON0Vnh9YIwV2eEa6VAqsbnCgAOadpgPTt6N5GRtJuDjE JeOucoSv+0vI31i3oGBGF+Zlwle7dGAjR5rGLqmCT2MPPwTyBdakdM4PgZmNiMn3eTGxrezQ 3oMrF15FPQ6eWS/hwYCtw/ftXu9YSj2EXe+Sz5AEQlMtlonnYtuCsoynfmBfFB2eXhSADXU7 Tg6IUFg9DpgFgdNlf9TrBThdJ8fond4lfJLRiz0HhS6ZPZ4lsTfRlw1rryPPcTFgHgf/b9pV flYuyxieY9pY3x3TycxpAgRxXB9vlakzo19dQUkb0s43gJpRH04g0AblvyP0259iRXA4Gf3e 5wt+IosI3kWRFRb0aNPzmza1TQQi2iPWBAnlzcKWPAoCRb0og1I7mqJaZ9joGSA+tS0AoVu0 xunMD1FVOWhFQBBA9e1qd7IDKFUnR0aRWSRJIJW4Y5YZ8PCgaqkxjWfAw5a1rLODFmt3jyDZ epsVVd2FLcR2/qs88j1ql6x2KIplvo4hhCyquGgT158ibihAEVWfwOBUOhJESSsgBUlbo2E/ c5DjkPb1EhWZ1C6plQEMWJY9a4BZiHl6mdSeS8YkBYyPg9kDaOaQTWXr/Renn3QFXcebaaRb HUmZzJxHcY1kdZnvc2PNDJitbdkMJJyC5IGpkGLLKjXN1FtRZiIz8xgwDw28g/ps4tJ7U1I4 ruPRaUwVfhIxhxQgu/IRmwRE007osNClA5hzPK/UCYxBsOlMf+CRsMjz/VHtLAojyjVdVS18 A1BFbZH4gRHKXdoC8iVGbmChK/NGO3i7CJ2JySjUNXA3mvF/+kC3gHx0V1mXkE4TIZqMn4xm ZAJcvVZYqRO+P/FbpXHcRV6I9vmqTHzT5LVXOPQVyO58OzwLjzdpOKJX2xZ8k9QrFUYM8V2B yr5UCkeutXmZhZaLWZKwiNzAeXxjCiV1yaYT0qaRJSmfS5zCWsK6x0sElD65VD0QybGB0Phs WWNJjNWMTPmz/RLNUE7d0WeUBjnHx84gB961ktPz8+lFV1nQBLqYWTL1jZkalVRBsbor11eq y6as7ktJnaspvPYEq81cH8e4YkPmxZ2hcehB2cCp6VKPtnLjnCFZq1jutDQXTEL0oBl4oSGs BJ5lpXGU79KCWeD7SNDiv2fodzBzm/081v2VFdRoPJh5lN4SMBPc8dD1G/O9PQij0Pw9luWC cBZa7m8cOQ2QUMt/R0bxaWj5ClPj206nkwYDZg6uC5KPWj52FJHWamldteDgpQlNzPex4M1l E4dfWyyCTKiHqShD10O/412ghwaH35GryVJcYvCnLr6tcNDMtZyBvKuTyAVfNHTgcHAQTB0T NvWcMSzUrzfygJEfQLMxuLD6e9OVx/fn5y5etXl+KIWgCLVNMvtRBf8lsz0c/uf98PLwo7dr +A94e6Up+1QXRae4lk8l4q3h/nx6/ZQe386vx9/fweRD35yzwEWZdy+Wk/bC3+7fDr8WnOzw eFWcTt+vfubt/nL1R9+vN61felsL38PWIhwwRU7c/7TuIbXCxW+C2NXXH6+nt4fT9wP/2OaZ KXQ8kwh1EkDSe8AAhXhfCfUQuQPidNcwP0CKl6UTjn6bihgBQ+xmsYuZy4V6nW6A4fIaHNVR 1htvondGAcgzYXnXVBb1iUDZtSsCTSpX8nbp2RJM2ydJnsiH+6fzN03Y6aCv56tGupK/HM94 TheZ7+N0yxJEOTqAyniCQoooCPK2J9vTkHoXZQffn4+Px/MPYsWVroeSUa1afLVagbyPr1YD rmWu5SaxajcWDMu5PEZecTjCRSqcUbclW+Os4Qy+ps+H+7f3V5me+51/BsNkCvaDT94/Fc6U AgRwSuvrFZZUMc7L3AkNBWiutpOV3NxXFYum+rx3EHNPKSgqfV3uQjRp+Xq7z5PS5+xg1Aua iNYFAgnfnaHYnUjnryOwtKyjjFrx6dPuC1aGKdvRZ499lvWNDvMi/E+fKejwLiEdcUX2jGEP aLP7Od0zz5JZNU43oN2wSIiFRztwcQTnMuj9Ja5TNvMsSYYEchbSyPnKmZKPPYDQj4uk9Fwn cjAAqwE4hIMo8wqIPRCgomEYaHUtazeuJ7oqREL4MCcT7eWlF/JZ4c4mTmTD6PEeBMTR7Vo+ s9hxdTGoqZtJoMtlRdsE+hNJseVT4ScMcU/OaXGyWAWj9IjrKjYdyaq65TNGSaU1754IIaH1 gOWOo5vjw28f1cfaa88jFwzfEJttzvRP0IMwFxjAiA20CfN8bJskQFNaH93NRcu/fED6+AhM pA0HAFP9wYgD/MBD8QgDJ3K1ULvbZF2YMyBhpBZzm5VCx6JVICA4HdG2CB2SFX/h0+W6ODAP 3vXSOv3+68vhLJ8GiDPxOppN9VsN/NYvSNeT2Qyfkup5qoyXayu/1WksTy/x0nMc9PSSeIGr W2cpzikqoeWerg+X0LpYZKyGVZkEke9ZEcZKNJBoPXbIpvSQSIPhdIUKZxgYk/MmZ3SIM/SG lRnlBmlaEKGSJx6eji+jxaCdRAReEHRBHa5+BZvjl0d+C3s5mLcsEb+42dQt9QiMT0SIL0BT qa7QDaqz7YVLhcJ78/7l6/sT//v76e0oLOyJQf0dcnRr+X468xP4OLxU69oBl/THTxnfpFhx H/jmxduPsCZfgMgnBn7jnhiPBhzkeKQmn2MQXxKkE5y1ta2LiWOmaDfuAcawyU/Cp+KsR1Iq 65nTcTxLdbKIvM6+Ht5AwCH40LyehJNSs6iel7UbTczf5rVNwNBOTIsV56EaV05rLu2gj7Gq SSVpntSOcSGpC8fBuhABsUi7CmkopDiUczrqAChZEOr6EPkbD1HB8K2Swzz0AKUYnog7SB1u gXErW9XuJKRZ95c65kJUSK6U0fwNouYLeCGMp5V5My8YnVCIWK2M01/HZ7j/wDZ9PL5JN5ZR hUJ0CnB68iJP4waSTmT7LbU3y7mDQrfWyJ2sWYAjDY57xJqFxVeY7WYWiWbHu6Uzfl6FJvKB GOB1V77+ZA+8YkKkvuy/9sVv8o/9TGZIrwJ+J3jjflCXPAYOz99BW0VuYtA+ziLP4HF5KbMd V0m1sQWXLovdbBJagphJpCUQWVtyKZ22NBAo2me45ecPKegKhC7TgU7CiQLkaEV9hH5x3Wpm tfzHOJIOAO0xewC7YBBAmjIqB6yIaqa7wXKYiCMWBbjl9rYw2+WgfUGEycubm6uHb8fvRGKZ 5gYsxfWKIPxzTi/ZUT19NTUEd5cujb34o2JCV0kba4YanIdlLRihtZBqUTdOk5h5k5Ssnasn QWQaLfC5SE+/vKXMowUBZC+/Y8mQKKVe3V2x99/fhFnqMHTl164CcI6BKvc8Qs+Tcn9drWMR XxSXhBLKH37fVk0Dpp7PFDK1FpPRjC24uNBTowEK1lFe7qLyRgT+RLgy3/GvRIwAkPUu3rvR uhQxT3G5HgUDRMsL+iIsQizePtBoXNerap3ty7QMw8nELF8lWVHBA1iTWtJnAZUwIJARWf8O jblUNSqV7UuMxUrUciy46NE8Gi2dfqxgOAzRBrTx5WkBaYw/ZwnlyVbqpqP8B9/l2odvhO+J 4cPX7cZ12lR6EksF2M/zdZo1fH+h6AMYSyZZMCpQURB+++n3I4S/+9e3f6s//vflUf71k616 aLwPWGB5u1fOhNppPl9v07yk2F8aa5GIRGQz42fPbTEQjE1YKpK1SR3x7dX59f5BSCHjNF2M ZL2SrbRanNIOsl+2KGRqD+eLy6KNVAQ1GV68R4tTQresJ/o91ArelGRzC0ZewCG0Kj+Pd4PO UA9gO7L1h4i4cbqczlyNASkgc/wJCrIEcIstOaB6X6bxRXXkjVCX+6pGO4nlFa2jZ0VezsnU b+Jiyv9eZwkKWcBFknVruaaWlWXNGhb48qHw+MRlAcEFtG+2jUE25XIpv+vWccP0w4yD8qrE PCLbte6e3JMc4+31la0AnNWwnM9BUoxRLEs2Td7eIYxv1uKDH8N+UTWi9RGtpQH/QgPdslWw z/MUHRTweywADV+lnCdxskIhj5ssZ8Cs6G/zWSC0Bo1eDy1rfSanHAjsopkoDgmTIfAx1ZFd 15HBMopDbjZVS2/Mnd5RK0VDnReAqNZFzs9SI9qlhgF/1LzBqNu4WZs9tE3GcsFcY0BVImGU er6VM4R0hQr2wTB7Mj7vXEyE3bq0TlJP3GzW/ARfc7r9KCCOQW0bocTGjK8uze9maCFb7Ldc 3FtoS3ydF+qzDC9V7mjgAgSLhf5WqsR+F7etzhNc42shL3iFvLiCBZH8ihcaFqkKpSyS64kX uya48CRUCSSy+FJRQH8M/MLalCzfoCTmDJ/rNp4DLqCYd0nIfg5OsPyQ0HAQ4wdceq9lTJT+ LrdOwaD0zoJfQICXpLmrja+ig/ntZ4l2BMfCEmmp9LkL1odx6iQYE5BLgHAmQ9XGEkHUKhiK TisAEPtGOHaKsw6s3GmJFpLMqRLAC/gHoK10BYVt30hs22SITd8syna/pa7VEqOdLqKCpNUm GPJaLpiPNpaE4b0mTivsim3kTx4ULDIgEbkRKj5pRXyHDo4BBrmU84Zvj32ao2mhSOLiNr7j veS31eqW7IhWCuRiynhbI9nxNSGGTvaszPiHq+o++lBy//BND+G7YKPjU4EEP6K5ZEex4mdb tWxiSgDuaIzjvQNXc2Ane8hciiYHkLDdGClLqd7LkaS/NlX5Kd2mQpwaSVM5q2b81mhw2s9V kZMpJr7kkEROiy2SLrqiXeN0g1LxXbFPi7j9lO3g33VLd2khGLzGYRgvZyzP7cJ6CnBElzg2 qVJ+Wi+z33xvqguE1sLrdiRtCJBtywpkc6uL3RfHKDUjb4f3x9PVH9TY/6+yI1tuG0e+71e4 /LRblWQsx3bsBz9AICRxxMsgaUl+YSmOYqsmPkqya5L9+u0GeOBoaLJVM+UI3QRBoNHobvSh otsd0xY2zd3ajCYQDS/mrleN+N1YuDauzLJoOnp+FieRFAY3nguZmVPuaHxVWthjUg20/GFh OEexboSdGIkL42gDdXISNVwKkOrNTBH4Z1iPzjjgz56hXsSlThaoM/KRSyyqRS7nJpYhhzhS L/42Oaz6beU41i2BSVBA6z5dtzS0n4gqxptNaG6ih6Z2fhCObFynUYMzkfz4FgnXG9RhQLK/ LYpLrEEI27qgkrsDCp3TR0WHwYGdG6IJSgLuT5wN64VuleqyzmTB3d/NtLTYU9sa1iq4KGb0 Duexzenwt+bh1C2HgmLOvgVQrZIRxZCnzu5jIRhmLcEy2TN6TIhVFxy6C8PVhgkNZDBdeK20 pW2Ao5Nuoar5HUD8jfEdokDgtqwJUC/z9MwedFUEeHFiEmdS9oWUjrf7l8vL86uPo2MT3DH7 Bpi9RbQm7Mtn6mrYRvliXU5asMtz2r3KQaJXw0Gi/QQdpH8crVUxxYGMgtNweUFRu4PyOTwN F5TvqYNyYBbJsFAH5SrwWVe227INI13cnMdPbaoaIGdX4fkiS3ggCshDSIvNZfDZ0ek/jwpw Rvb3qqSt9ki7VzmYXfMp3fyZbj5zJ7EDUHfqJtyb/Q4QItUOfkUPZBQY4Cg4QvLaHxHmeXzZ SHvSVFvtLk7KOJy2Tq1OD4MLLJQVeJlGALWwlrk7UgWTOatishpoj7KScZLE3B4xQqZMJHby 5x4C6iGd5azDiDkWM6TO6R4jq+MqOCWHx1zVch6bhcUQUFcTi/6jhM5+WGcxdwqrdWpI3ixu TDHPsv3qmLPN/fsOL+69FNF4rJmy7Ar1yJsaax56ahtIKSVoU7BwiIhJcOlTqZI1YEXekdnp ENp20SKY6w+/m2jW5PAihrYN6unO2tREqSjVDWolY7NKrm8E7losKb3rppVpLXt+BytYFczE N2MyEhl8BBpKUP9Vsg5nlsrgIR0AgfaVJGNduXXQg0GKRGtMmdeSU4uv7L9cdYJ192YiKUyj PglW33V9/Mf+6/b5j/f9Zof11D8+bn68Wldn/TSUQLz0vulRqjzNV3TOwx6HFQWDUdCXGz1W krOoIAtx9ygrljJyvbD4bikqMnmm8QIQpvNFhh7wBD2Y4EYwmaxsObxRwFYJgOXhmBo9s/ZJ AO2wFTnwkIICoQA7dOtQddu/69a04bVNmEsjY1i5lAKycpVirWggEJsNDCjGVpaWaTJOmfUD FFFWoohfcNnE0fJ6dGLcLwIclEXMyEeLv4iQTUkcA6OMBxT75Z3Rooceb5/WH/fbh2MKC9WM ppwxS8ajEE7PaUceCvd8RImFLub18f5xPbJGtZDoKFbkcGit3AGBWh+1oOBAYFtJFpehSes4 NXLvNK4URWBKplUzrmM4o7Mml0j9eRYxK82UsaZhQgEkOCxqoXeKynvboQw2o1vy6rydlYGf M+Mwx715jNGI317+fv7wa/20/vDjZf3tdfv8Yb/+voF+tt8+YMGwBzzWPnx9/X6sT7r5Zve8 +XH0uN592yivPu/Em3LeFEk9hS+Ho6PmVQLaZ3/jvHl62f062j5vMf5l+991GzJpXJXjHFbo PITbnlwV8g1eKb2DyOOVFBNzEg+gNSGtk37mVshxHjBQq69TdwrAjvolcvMuO8gTEKuCuN2F Oj2vHTi8an1wuyvBdPO3BPJVFy6GTV7JF3lvkN79en17Obp/2W2OXnZH+pwb6EEj4zUKKwyt wWo+9dthZ5KNPmo553ExM09lB+A/MrNKMRiNPqo0ufLQRiL69ZS7gQdHwkKDnxeFjz0vCr8H vLzzUUFaZlOi37bduqFvQYEdZD/Y2+HUFazX/XQyOr1M68QDZHVCN1IjUX8oKaP75rqaCbvK Sgshaw0W719/bO8//rX5dXSviPVht359/OXRqCwZ0WVEyagtTHDufZTg0YzoRnAZlVS9ie6b a3krTs/PR1fdxmLvb4/oUX+/ftt8OxLPauwYxPD39u3xiO33L/dbBYrWb2vvYzhP/dXhqbuL MbMs/Hd6Asfgqg0Qc3fdNMZSVP7+EjfxrWWw7L50xoB53XrrMFbx7ygN7/3hjv2Z5JOx31b5 NM0JQhTcfzaRC2K4+YRyX2yBBTWuJfE+OJUXkvnbM5uFJxZri1S1vyR4E3/bUcFsvX8MzVnK /MHNqMYl9Rm3KeuzpkTbh83+zX+D5J9PiYXBZm/YyyXJV8cJm4vTsYeu2/2ZhM6r0UkUT3zy JfsPzm8anRFt5z5LjM6bovC/Mo2BkJXTLMVpZBrBpghTDsIvTrxOoRnEXrq/z2RiyW63aYHa byTHrqVrqhkEaeLtACDDZlto+tmbyRK9AcZmTYSOBU/l6OqU2GiLwhHitfiwfX20HA97tuOT BrRhpmK/a5bV4zhwf9BiSE7ZSXtazBdYF4AgXg3wboM6YmWpSJKY+WyVoYkn9FBZ+WSIrRfE tzmu0TZwov4ST81n7I4dOEJLlpTA9f1RtMcB0WUp7EgCHy4L0KQPkdEZQXqVoL3lOvAidys2 aLp5eXrF8CQr50o/ZROlprqLol2Z3DdcnpH3a90jPhOBthn3WpX3U8tO5fr528vTUfb+9HWz 6zK+UCNlWRk3vJCZv48iOZ46FbxMCMnnNYTikgpCHZ4I8Br/jKtKYMSC1EY1SlQEzTg+cKXo IHbC+G8hy4CTkouHCkF46ZTpIM4mrqbyY/t1twZtaffy/rZ9Js5VzK5AsR/VDnzEJwhMx6CP M6M6YhCHfF5vvP7xMAoN6qXHgwOwhEwfDKyG7L07YkFCju/E9egQyqEPMI5qd02H7xtE0QO7 ErD7I87takaFAtk2lqZaFYaNywAW9Thpccp6bKMtz0+uGi7QZBxzdPPufbwHG/6cl5fodHeL cOxF41D+MYD6pStAGOjqi1JosB/aqquNTYXQDo7KdRVH5pRy0sSPOUe+K2Vif/QdFPX99uFZ x7TdP27u/9o+PxjO/5iLUyiLILz7+vgeHt7/gU8AWgOK1KfXzVNvZtO+KmFjpg8vr49NS7iG i2UlmTm/tJlZW9KIt7n9wW7jc/RP63Boj7TfmJc27DXENiSLo4umuDHJumtrxqCoAq+Wc+Jr 0GubScDNpsJ2rGLKVZXyYI5B7sLijwZddjFqIJJlHG86pAqGMrV/EyURWQCaiaqpq9j0buC5 jExmAqSdClDc0zEWoDQilpDomOnfKflMOfTwtFjymbbAa6tbv105aKlw0lhNowsbw9cFeBNX dVOZHIZ/tiwg8LMPQ7J5jYLABhfjFZ0G1kKhJUaFwORCm8mdJ2F9Qv1eBMonhSRTbuTtA4bn 62Lc0Ml75cugwCzKU2MmKJ9JZKRwRNom/zt9FjitIDz1juJ2aySo9jMSGySnof3JxKZ6QZmK 6EY1U/jLO2x2fzdLs1Zz26Zi9gofN2am/1/byGRKtVUz2AceAMvZ+f2O+Z/m6rStgXUZvq2Z 3sWGVcEAJHfmHZEBWN75O5u4PB1z46ocfqg6EJXKpG76HbKyzHkM2/tWwCdLZt2xqpgmMypP N6kyvSkr7PbIGm/KbBf+tqEZr7CQytCegdbRlBoOnAtj72wYAuBd6i7WPNOR/yCMRZFsqubi bBxX9utgzhIm8RJwpoRdc33UkxgsG3CvLaeJntShS11Syr0ijm4MpjhN8rH9a+BThqeF7ZrK k7umYsZzsbxBUcroNy1iTBQ2nLj+vSTAJ5HxFozalGjaq8xrqUmeVb17pRnfAu2kSzPiX/68 dHq4/Gmy8RIjZHP3bECSKDBc07oX6EEAkQLXFemaodc9fBOBV2OpCaD6SVKXs86nIoSUcrzD NkaGN02RKMyalCXQiROnhz4Q2fRwZKsnHtj3ZZ2ApVpfd9vnt790moenzZ64RVNhG/OmgsPW kgt0MzpC0rZ62MK5CnWZJiAlJP2NxJcgxk0di+r6rKekVh71ejgz9sYqY2lMOLlScJ3W2JAF 0zFeuDZCSsCyaikhNvzf3qBdGy43wQnrTQHbH5uPb9unVmjbK9R73b7zp1e/q9UNvTYM9ai5 sIqbGtCO0QasIQZmWSQBccBAihZMTigJYBqNMdgvLir7vjdT9y9pjQYmjPyitiXwcKFj/05P zi5tSi6Ap2PkdEobzPBSXL0BsEiEGSBgtaAYjgvnbtT6ulKHm6Hne8oqbvBtF6JGilGMK3/K tZ+GdmHGkktFTYvxv0sD/zJLCrbbM9p8fX9QdXXj5/3b7h0TMpqh0Gwaq1AGeWOw3KGxv53V S3N98nNEYekEGHQPbXKMEn3DsD7Z8bE9l3aMQ9fW+n+HLqh7NLyzU5gpxj8HF6zvsPW46c9u dfTDMs2BJM1x4G9K1+7Z7rhkbcxmfCew86FXBTM708igAhZElxo4xkKEpdOHiqxw25x3Oi9R Z0nq2CoH/zpUuRUiSWm/RTv2xGqXI38FceSeot7e5ff9GocCMmbQkjEpf5753SFcySSUtQGf zReZKZqotiKPyzxzNGgbAvTQBt6GOh5Q74TM/ZHpYDHS3zCpxx2S9UkK4EWwmSTZzi0ICq2L iT3n/9COAoYSSxpt07o4OTlxh93j+qc+jde7aUwmv4OOQX9YAopyx2t5qHKFqfFINtgnsP2o BYks0qcAIfXoLm7hM6eVYkzOVNym/koBNt4LupEULo4c+53Ba0BlnJYkxBmAO8ZYVjUjdkgL CA5FV+9TvjIOwzLmD6MpJ8DX/O4tMCVPcTXIOUOu4RtWNRT9W/UuGbgO6BxaMXVddIZt7Y1l htmUXG6g8I/yl9f9hyPM3f7+qs+12fr5wUpVWMC7OfoL5aBFkfvUgGOmihoOKmO75ZMKLTR1 0ZdmClAwApsZptGpWEn7rS5u4ESHcz3KKfFQ8Vf9LiuP4MEv1X7WcLB/e8fTnOCOelc40aq6 0Rb0VJviLOb6UH3btIbC+FyIQvNKbRNEh4bhBPj3/nX7jE4O8AlP72+bnxv4x+bt/tOnT/8x 0qYpV1Tscqq0Cj+YrZBAk128OmU3xB7wC9ythmp3XYml8DZhVzzabQ+gLxYaAmw4Xyh/Zm/v yEVJhzFqsBqjoyEr519R+H21gGBnrMpRoSgTEXoaZ1LdM7U6Gi3bqkEBaaNqHGbqw8cfVPj+ j7W39M1K6hqyw/tQ+oWpauoM71iBYLXt7tARok/UALv4S4sm39Zv6yOUSe7RnO2pP27oditE YHP4PJr6T6jEBTFoBOR49cneRKxiqApittg44MV4cPD2ODioaNpru8+UJXlNsQVztS0DPa9V ReCQCQ7hh55Fz1BVoypMR6oLGcrMgFBxQyag6RI0Wl/kbNCbVjOSSifyV0VnyQBpERN6UR+I 1t2Mr6q8cE7OSZ1p9UyNXYagU5DUZzROZwCYdKRudaAam1TlYoJpxBsGBwWjxnE/KEyQLTPT 4Uph8PZB3csA1H1zm9Mp441bxtdobLWecmFaLLGnAHuehBe1ZFh3hsyyNkg8KklZ3CpbtplB R9u0ON7ufn35e7N7vSd1Aww6bl0zF0JKO7Iec4BoeRG4LDDzizPzOZFi4T0tUtq2BgyJwnAW Pgvbv1rUPzGKN2FjDK0Qyvao5VLSaljJZhIv68K0fvY9pWXcaBvc4Tfi0NEUiqILKNPl/EDU 9TINeFmr71fO9cEUVSxOtG3XmFF4qqgwcNmyUnnLY9oAq83+DQ8KlGk4ljNfP1gJted1FjAW dQy2Ues6JPKhBtvtTgfVsM96yYAGuoYvLWEJQ5OgVD3nSFeAlM1FF9fmgLDoNMhNeV25b4Kx VoJO7OaMsTdPHNpWc57feqI5COTQ3HIFOzEi4lNsH9gJ3nAi1SHNtw44gwQxjyr6YNZiLV43 l7k8YFlI4wxNaEUYI/j8HATDsSjNLFj0mdtJGWoDHTigxujEdwCu7l7yJE/xNAhhqQREoFA0 hzuDwxYOqtBxqyW8izPy3lbNykwsccMdmDZtpdcXMIHQyRav5AXtUaHdLQCjCuQcVAiKoU6I r1BQ//6ga4ZNnNBGY21zquMD0KW6fQvDKTXWxpB4RawU8TBO0KFLQeOI8mDXlD9PvSWDT3aU URt+m4bMVXo+0M9LhXV6HRe0fUUD0e9jhpcccIzS/CXOMGVpRTtn2L1NYpmCgE5ZQzQ1dRlu nLWMRMIoe1lLgipu1A3Q1dSX5geoAMQCzoACD/SMypAdRN09GTsnTHfgirQ/g+2IIfrM8sKK 9OXW/wDtguzTcLQBAA== --BOKacYhQ+x31HxR3-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============7930115295512376379==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH bpf-next v3 4/6] bpf: Introduce bpf_per_cpu_ptr() Date: Thu, 17 Sep 2020 09:14:11 +0800 Message-ID: <202009170943.rYEs5XMN%lkp@intel.com> In-Reply-To: <20200916223512.2885524-5-haoluo@google.com> List-Id: --===============7930115295512376379== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Hao, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on bpf-next/master] url: https://github.com/0day-ci/linux/commits/Hao-Luo/bpf-BTF-support-fo= r-ksyms/20200917-064052 base: https://git.kernel.org/pub/scm/linux/kernel/git/bpf/bpf-next.git ma= ster config: powerpc-randconfig-s032-20200916 (attached as .config) compiler: powerpc64-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.2-201-g24bdaac6-dirty # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-9.3.0 make.cross = C=3D1 CF=3D'-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=3Dpowerpc = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) >> kernel/bpf/helpers.c:631:31: sparse: sparse: incorrect type in initializ= er (different address spaces) @@ expected void const [noderef] __percpu= *__vpp_verify @@ got void const * @@ >> kernel/bpf/helpers.c:631:31: sparse: expected void const [noderef] _= _percpu *__vpp_verify >> kernel/bpf/helpers.c:631:31: sparse: got void const * # https://github.com/0day-ci/linux/commit/3f6ea3c1c73efe466a96ff7499219fe3b= 03b8f48 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Hao-Luo/bpf-BTF-support-for-ksyms/20200917= -064052 git checkout 3f6ea3c1c73efe466a96ff7499219fe3b03b8f48 vim +631 kernel/bpf/helpers.c 625 = 626 BPF_CALL_2(bpf_per_cpu_ptr, const void *, ptr, u32, cpu) 627 { 628 if (cpu >=3D nr_cpu_ids) 629 return (unsigned long)NULL; 630 = > 631 return (unsigned long)per_cpu_ptr(ptr, cpu); 632 } 633 = 634 const struct bpf_func_proto bpf_per_cpu_ptr_proto =3D { 635 .func =3D bpf_per_cpu_ptr, 636 .gpl_only =3D false, 637 .ret_type =3D RET_PTR_TO_MEM_OR_BTF_ID_OR_NULL, 638 .arg1_type =3D ARG_PTR_TO_PERCPU_BTF_ID, 639 .arg2_type =3D ARG_ANYTHING, 640 }; 641 = > 642 const struct bpf_func_proto bpf_get_current_task_proto __weak; 643 const struct bpf_func_proto bpf_probe_read_user_proto __weak; 644 const struct bpf_func_proto bpf_probe_read_user_str_proto __weak; 645 const struct bpf_func_proto bpf_probe_read_kernel_proto __weak; 646 const struct bpf_func_proto bpf_probe_read_kernel_str_proto __weak; 647 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============7930115295512376379== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICMGsYl8AAy5jb25maWcAlDxdc9u2su/9FZp05s45D2lt2fFJ5o4fIBKUUJEEDYCS5ReMIiut p47tI9lt8+/vLsAPAASV3M60NXeX+Fgs9pv6+aefJ+Tt9fnr9vVht318/Db5ff+0P2xf9/eTLw+P +/+dpHxScjWhKVO/AHH+8PT2z68vz3/vDy+7yYdfPv1y9v6wO58s94en/eMkeX768vD7Gwzw8Pz0 088/JbzM2FwniV5RIRkvtaK36vpdM8DV5ftHHPD977vd5F/zJPn35NMvF7+cvXNeZFID4vpbC5r3 g11/Ors4O2sRedrBpxeXZ+afbpyclPMOfeYMvyBSE1noOVe8n8RBsDJnJXVQvJRK1IniQvZQJm70 motlD5nVLE8VK6hWZJZTLblQPVYtBCUpDJ5x+A+QSHwVOPbzZG5O4HFy3L++vfQ8nAm+pKUGFsqi ciYumdK0XGkigAWsYOr6YgqjdKstKgazKyrV5OE4eXp+xYE7nvGE5C1b3r2LgTWpXc6YbWlJcuXQ L8iK6iUVJc31/I45y4sCU5qROldm7c4oLXjBpSpJQa/f/evp+Wn/73f9duSaVJFtyI1cscoRkgaA /09UDvBuhIpLdquLm5rW1B2pI1gTlSz0AN/yU3ApdUELLjaaKEWSRT9rLWnOZu5spIZ7ExnGMIwI mMhQ4DJJnrcSAMI0Ob59Pn47vu6/9hIwpyUVLDGyJhd87dyJAKNzuqJ5HM/K32ii8Lw94U15QVgA k6zwARkXCU0b4WXl3GF4RYSkSBSfNaWzep5Jw5v90/3k+Uuwy/Alc3NWPWMCdAIiuoRNlkpGkAWX uq5SomjLUvXwdX84xriqWLKEW0WBb879LLle3OHtKQyjugMFYAVz8JQlkWO1b7E0p8FI3hBsvtCC SrNFIX0hbHgzWG47WiUoLSoFoxqd1It1A1/xvC4VEZuobDdUkZW37yccXm+ZllT1r2p7/HPyCsuZ bGFpx9ft63Gy3e2e355eH55+D9gIL2iSmDGsdHQzr5hQAVqXRLFV/BLGyOF0o7QoXkZaetrIBmcy hU3yhML1BULlLi7E6dVFdCbU0lIRJePMlSx6lj/ARcNtkdQTGZPPcqMB10sUPGh6C2LoyKv0KMw7 AQjXbl5tbkkENQDVKY3BlSBJi/CZ06O0sW/FLMoSf6udhlnaPxyds+zEkycueAGDw925/tpbLDRN GWg/lqnr6Vkv16xUS7BXGQ1ozi8s2+Xuj/392+P+MPmy376+HfZHA25WGsEGPgKMfz796PgHc8Hr SrqsAXORzKMyM8uXzQtRtEVpmSxoeoqgYmlcJhu8SAtyCp/B7b+j4hRJSlcsiV/WhgLkHC/PKZJZ lZ2eA4xETK2CMwAGBu6ny9VaSV3Gt42m30f1FloApj8t4Jz3XFLlPQPnk2XF4ZBRZYPP52ldczDG QRo/QzBhmYStgYZNwCDFz1HQnGxiWgvkAzhvPCWR+l6fIAUMLHkNNtnxokTaelv96KmeAWgamQBQ +V1BHOWS6tu74OX8jsdXjajLMdSdVGlsS5yjmfEvOtwlXoESZ3cUnQy0sfC/gpSJx++QTMIfY94V eKkpqqCEgxIDV4Boiu4xGh3X9+k8RO8Z9GtCK2UCFtRojv9bZe6KrB6OrKEAT5ahuDlDz6kqQEvq gVdjZWQAzhak9HwJ67xav8GBGh3nuugOZ2meAQuEuwMCjlpWexPVEJYFj3A1nFEq7q2XzUuSZ45A mjW5AOObuQC5ADXYPxLmBBWM61p4/iRJVwyW2bDE2SwMMiNCMJexSyTZFHII0R4/O6hhAd45dEC8 sx0eAp5hYWRIALHwqeFS55ykPrWJYtytG0cfbUW/eI2TzEiylKfJ5KZMgvMDP/vGE8FiRtOUxu6a uQh4l3TnKhvj1kTr1f7w5fnwdfu020/oX/sncEoImL0E3RJwP60P2MhYP0jUov/giO3CVoUdzPqb njTLvJ5ZS+DG3EVFFITAS0/75mQW2TQO4A5HZsBQMadtfBkOYaxfziRoeLhuvIhrcY9wQUQKXlSM 5XJRZxkE3BWBGeGMIZIGq+FddUULq5BAnFjGkkAjga+Tsbz1nxv++kmBjrRKri7bQ60Oz7v98fh8 gLDh5eX58OqdH1hE0LzLC6mvLiPL7vBUmxHDiKpynMCe1odlLhESBPiiqCFuAQFfxMZCtBfRALXR i/HzKGJ5ABwt5VzMaJ673BuyphPEVPKLqSNpEHPM8FKVKSPOoVxdzpjjbtu1uve2KAj4WSVYWgjn dUFuMQ1zggBi7fOPcYJW2tuBzv/zA3Q43rl37yVV6BqirsFACvxx180Bv6VFGQWiMyZAspNFXTqm pBQYXsnrD+fdZiAASpbWzZd1VflZLQOGN7KczOUQj0E7eEJDRCtnizWF6Fh58uHYFCLyzcDcVaRs 8gW8Brf+Y5/dM/wZJoUGcOPF8YIpuOHgamrj77mq3iRpDPeHS/YUlVXhbEaF9TPQYks2c224IWkY gFkKwWdU+hcCjJ/VgGCj5qM4RhJ5PY3j0lO4FeDOvCtD1s5m73gJutL1Cau5TWGarJK8vmz0zeP2 FZW9o246hvLCy/i0foXMwV+1Fz7mty3BLMxrcLNdx4NU4A4SQTAl4LOCZ9aZRE8Y/BMvS4t40BHg ht3C2TLjy7Q5jUl22P/3bf+0+zY57raPXhoD7wOo+RtfIyBEz/kKM34CL9YIepgv6tCYN4jHPi1F m/7EgRz/9//xEl+DJSWraN4y9gI6Kyauiq7YpeRlSmE1I0Fo7A3AweirQYonxrYxb9+j+ZHNhZuK 4dut9LmD4Aj7dbsy8yWUmcn94eGvwEsCQssIFXWS4rLXTsHuH/fNoADqJkawL59NftHjE8LM+nMC vqAYYVJHVdCy9vnToRTlo4MvSK4wEnCHt7oAT6dKugVPUoc5rREepXH5Y7frQFy2OLpXC5V4Jj7U Rq6j+/yC9ahjz8bFnT4/OwsSu9MPZ1H5BtTF2SgKxjmLud531+d9/akgagF2ts5bX6/PDXkYE5fF okmfarHWdcmKKqdwkIqGoQYtjbpuqhQLrqp8YKQGNAL+WnlytaS3NIlu22DAY8hjtxFDIvBpiWf1 HKCpRXkiJsAl1GldxBMoZe0nrzw7SnOaqHYXGKblwT7BE1GAbvYbmmFTtYihWZ7TOclbV0CvSF7T 67N/Ptzvt/ef9/svZ36BEe3N5dJ4/YHBNoFAk3LsLHJT/mvAly3YRAUhrSm6oCNoLDOHyENg8rJl XpEay9cngOgtGEStCIQ8EPG9c6pnVRELWGiCDpF7l4JbY27S7O3oXCPPpOezJKru3Fc6hxKrpyDE SVMZdN044BPPMrSuZ//szvx/OhfB1hNhDHGKrFpsJARWPWFIgN5ETXJ2115Ir/S6Pez+eHjd7zDh +/5+/wIbglh2qEa4jdVob0uM592B+8xD6Ob9BtIOunpGveJkx5qNRNHORqq2vFLheGZemkE0yTCs rkvY27zE5GSCZY1A7sFGmkKuYqWeYU3VWamg8cEZBw0BkQcgVYAa7M5Cx0YaW34zDJa4syDrZvBZ XZrCpaZCcBErZPZlVfP+AvzMocOObqGxaPYSRvIvcOMUyzZtbjUYXhaoaJrqeLgHdNg1eBc2TGq4 r4mbS7N00vUxwzyNLovwBYP1w4EebtLadkZUozGGeALXR7F6DpYFXraaGRMcUTQWdL5DYvUcuwt1 rFkC7MfWYJKiuk0WoTFaU7JEE0ExL0eSm5qJcJg1AbFmRp9iobntWYgQNWHxD9HyPHXoY3xr1CMa Oy8kHIPb0BuPAi8KTfzkTwh3b76DgUfBo2VMMzz8jW00RsiXXtrUoEF2Mc9yF4AjNdXvU+CtCRXB sN4aUMD1aO0rTTDD5QgMT+sc7jhqIExNYxI2Mj69hXgbbrrpQkDWRG6ped1k7Dyh64/Oy7icStc4 mZjI206aZWwQlyTIwhjCcgUhKug9t7CUY5iNGeA1EamDQJGUbC5rYF7paKdmjgZNAs3XYC+msAZz OhGGoVHUivuxPaZk3FxslyOeJ3z1/vP2uL+f/Gn9gZfD85cHP1xGooEl7yY02MYW+pn4CKZPdZ6Y 2GMtdoKhZ8tcLewDu/vVg0EJKtwt/Ct4Fe+TcKhRwmy/V9TH+UGPoXODwVfF4opr+0wxQhbIhTP/ muBBaxMZq8EN8mIIS20dRaxHxCIIS1OXfr3Ce7VDuiO3hi7KqHadIum6xeLxS7efyLpl6+SenAIF yx87RiIX5PwHaKbTeNkyoPpwdXIvSHPx8XJkS4D8cB6ruTo0Jhn+7vjHFoZ5NxgFL7UA/+HUUrHE sNYFk9K21DSVcg3RISYYYzXwEpQvKJFNMeNuZW2GqsB9XGqZSAYq+sbPybVF6ZmcR4G2By6AYxg1 F0xtTqC0Ovdi8pYA45546sn0T9gIyBr7WOYDidazYAMA0MXNcDbMkI7UHAxHMFNckbgcIoFtFwXt koiNKSAPcyXbw+sDqoWJ+vay96tsEKww4+KSdIXpsOhNlimXPamTK82YB+5zI8GM3okP0uG4i+LG OAOmRmtbEnnfCuMtGSgZtxl0LLfj5uPi2tMtN7PoObX4WXYDAVXfJ+hN3RkZWZ73a67Lhu+yAp2N emzgMnQpd6LAY0i0KNYRk1UUjK9nEQQErpqDkstJVeFNI2mKV1O3qUbDE/rPfvf2uv38uDfd0xNT C311AsYZK7NCoesyMN0xFDz4tV98Mi5+l2tFL6jthvoWTCMTwSo1AIOySJzsJwzZBA0dy8f2YTZZ 7L8+H75Niu3T9vf912hcHE/L9EmDJidTkLImMXPR52UsieNBt5gIyGQ+qOv69KgV/Ae9tTDPM6AI Y04ilZ7XVSARS0orU6b3Ba3ZMJM8kujzsnHRTefgu1XKXsqqxkKL18dtfb5Y2RNDL0FRvD1nvGBz QUI/ERz2uS1MO7kX9AxRorXqKp29VgO3MImWa6RzCq08Gi4XrDTDXV+efbrqUj9uzXHpvJpA3Fcm BO6+A3N9VHjoOgJ6jrTALGbkEIslT3ndFU/vKs7zXu7vZrVTA7i7yMCzdp6NQ+byqIV01bDCagJ3 TR1NWO1p/comBWELmU1GxR3A5CXMcbaxXWQUW6RcDWJI4C2ydtCh2k6ODXhglxYFEbF4qlLUBmzE c8fHr3t/sF3HcLl//fv58CeWRyLJQpDgJY3xBdS3036ET6C7CndvBpYyEm+jVHncYt9mojDJkXhi mSpMtcXfTCssVcJyY6xkdstOv6Ht90qIjBf5gKC16FpwiACi9q/SVel+2mGedbpIqmAyBGPpM54w bwgEESMJdYrZDnYKOUczQ4v6NtaNaSi0qssyyF5uStAvfMlo/DTsiyvFRrEZr0/h+mlH2j6RjizG ceAbjyNZhUp25LT77bpAFMgApJKqBfvD12k1LsCGQpD1dygQC+eC2aG42OLs8Of8lP/Y0ST1zE3N tBq8xV+/2719fti980cv0g8QuESld3Xli+nqqpF1bJOLN/4aItvSKTHznZK4n4+7vzp1tFcnz/Yq crj+GgpWXY1jA5l1UZKpwa4Bpq9EjPcGXabggIFDmVK1qejgbStpJ5aKmqbKm+/KxhqgkdBwfxwv 6fxK5+vvzWfIwGjES4H2mKv89EBwBib3HA8NKhCssdfwozpMtqLROkkDPoxJfIH5K6rAcLrENmEb j9+qE0jQPWkysk6GPfoj2liMtObDGcY5Cr5xFJ5PR2aYCZbOR/ugjd6QxBWzBhQdbJWTUn88m57f RNEpTUoat3F5nkxHNkTy+NndTj/EhyLVLIqoFnxs+qucrysy8okQpRT39CGe9UF+jH9jkSaxLtO0 lPhFAMfPJE202h4GHB8x8Xt0MF7RciXXTCVxXbaKOB3eLWLlctxIFNWIZbSfNcSnXMhx98iuNKXx zSBFfgGOsEQlP0Z1I9T4BGUSfjXVOvD2kxCkqQSLf3/g0CQ5kZLFVK6xrLd6VsuN9rvYZzee+4L9 3L/5X2u6Pu3kdX9sPnnzdlAt1eDLtMZ1HrwZIFw32TkPUgiSjm15RMJn8UtBMti7GFM0mV4msZaA NcNanPRyzEk2xxt0PmBPh3ja7++Pk9fnyec97BOTB/eYOJiA5TAEfXqghWCoYlKgprvB1A7P+hnX DKBxlZotWTTNjOfxyfGg7XOfyvIO7lPkgyOHz2zkUyVaLXTO4uqpzOKcriTBZp1xrziL42I2tdU/ 2Kzrx8xwG2B59muJPtdCWI55q8gQVC0UhMStWgkyH7S5D21ol+7/eti5jV3t3pKECCdyrpICQkhX JVqIKUzohMmBBFXJ+932cD/5fHi4/90kRPtmjIddM+OEh0mm2latFjSv3AKsB4aQUy28T8xXqqgy 6Xq9FqKL5stXtyRbpgTLdPEzFXaijIliTYRtqEgHm8seDl//3h72k8fn7b3p7GsPZm044i69A5kU QIofKzq5QNPW087m9fX075lGALv1WOKgo2srC26gH6600wZYKMc0vJMpbDWIKT7EcQHU8SBME7L5 mCYm1xZNV8KvcVk4NsQ072rbsBYLcJCImC9nGlLTWNKLqPNVg/l4z6KdXrW5lwi0z5pNkwFMuo0d Haxg/VwNcH0+AGGqeTiJ+wF9WmA3GJy2EYWMetkeRGYUYjzb6zJenRxeoa6h697caT+fz29VNEdT LBgaUTcz7w7hpipBZWFuKnpt5qWMZVQK5agQeDCHiJMFJZOX7eEYViAUdhv8x5Q+RoZ2a0RKuroJ kTw7+S6w37SZt+9GUCkYTNzxpimivT/3Z/CGMM1ZphtyxOEcvoF9SrzMN9FDHjLHcKeGPyfFM5ZN 7EdY6rB9Oj6aX2aZ5NtvnhLHKWf5Eq5dsEO7nyEIIvsemiknr1raJ8cmqlyL9UhsDsgRE5/qMZyU WRr79QVZ+CsxZ4tNF8F5dzUyuFfWdx1obUGKXwUvfs0et8c/Jrs/Hl6cdm9XrjLmz/cbhQgpUDcI x47lFuwtBkYw32ZwUywck0FUDTMCrv+apWqhncpXBDs9ib30sTg/O4/AphFYqcAvvFX+1swOCvBH 0iEcbCgZQmvFgmMCfgcAHgDITIK1dbXPiTOydarty4vTp298UUO13eHHYMFBcnTQbtukvt9egTKz 2Mgi+tszBtv6PAOYJiUvN+BbDEfMCX64Er3S31u6/eGC/eOX97vnp9ftwxO42jBmo4zjooq9xVmO /QaBBHYIvRZMUftVYuxjdJ+YqyqQs2RRTS+W0w9XPiOkVNMPwXnL3J54wOOAH+7gKg1lBFuqFFfY 5IuRg1tqarBUmNYaxJ5PPw502NQaHevdPhz/fM+f3ifI5TFX1zCAJ/OLfh2zZGF/EUoXTh93D1Wm iNf+mMR3T8wGnOB3hgYOlFUZfH/jYBGlaZJAvI7hY4FlqYC5ERJQmPFwxd7ItQ5n9AjA9YkQtAEu bsHsIa/SVEz+x/5/Cr5+MflqK0qR72dwXPtCbNDvD/VTuD4uQj40YNOAeGkyi/hDXqO7rGexzC9i Fhtwsq1D1HpkynEQufczAeBi1CVTY/3cmSmJK6+1FoC2TBhFLfnsNw+QbkpSMG8BbY+CB/McTHgu 3Y/ZODZk4udPaBndGrtFYLLLg9mGiI2/EFOXtaWEhC+ooKUzg+2bxG88m/Zl06Trfww6BgBiJ8zs YBATZV5w76BkbX6tKR7A9WRWV0dOpqUhtx8//ufT1XB60CuXw4WW3Cw27HQatj6V/8fZs2w3juO6 v1/hZfc5U1N6WLa8mIVEybY6ekWUbSUbHVeS7srpVFInSc1U/f0QJCWRFOjcexepbgMgBb4BEAAP eQ4/MK+nAdcPydKkuzvCJknEeam2LUtwvfUW32SHr+ZMYprzCVB+qy/yQ4Umnjs7Vbzst3lLkia2 u2/xpn6Ax1nmrQb7G0mOajifCpaKE51Y1tGnwYaiWqv5vAbzCPJRYUuyjZnRULGdH4t0Qech+QDv t2gasSPPGggBPJrRagLzAblcklVtKzy7bhl2bZVTIUM9vt0pWuIgaKclZZtmn2fUz4+Op3R+lARe 0PVJrQaJKECuRWPUXJVW5k5yKIob2K1wxYHQje/RpeMincCU4ryihwZC4JtjRlRn26hO6CZ0vChX Nu6M5t7GcXwT4jmKo5Bsc8swQYAg4r27XjtTFQOcf3HjdGrj9gVZ+QHmG5pQdxV6Sl4rtvezFrCT u/anrDmTKoSvjA7yR3Q9Tbap0tvg99UzdbJTtrFjDdHzmqHXgy1sNovTlKkvxTzWW8DZqvGWagsn MH7DI/EQZEcwWVPii6hbhesAqXnjkw7zzh3RXbdU9msJZhpQH272dUoVfxOJS1PXcZaaG5zeZpFI 8OHn+W2RPb+9v/74xhOcvH09vzJp7h3Ua6BbPDHpbnHPVs7jd/hfdc23oBKha+//US+2HOUywjD6 yoN7zgj0szofZODs+f3hacGECCZjvT488SSws/E+soNgMANNILRJl+pTxpPsK0zEGiYrk9RiVe3T tqSBWgSOJGoAZ5KO1qOnh/PbA6ucifQvd7x3uRXk8+P9A/z98/XtnatYXx+evn9+fP7zZfHyvIDz k8uVysbHYHA+qEa/0YmZoSjD6d5cab+7fLIxEoIp/Spe2V41MGhqcQWBNBAPR1GeGLOayQFYgkx9 fVaRFrtXAALIttdvx0gQ6AnQPhnVMH6fv/z468/Hn2rfDB8FvRZiFobeBx/yQc1BMkXQDPxDFTto lCU8zYKaEohR6b/0GBYOMZjmn5XfW7z/+v6w+I0tnb//sXg/f3/4x4Ikn9jS/l1dm0MDKKZlkX0j kC0m4FhuUMdCljumAU0wQYM3ajzKjMZy5TIS0TrTYQCYvNrtcLdBjqYELqfBNq51VDtsMpo6Jkow hYmPB26LA5It+Ygi4//OiLTvQL7l+bhzeJ7F7D8IQiw4EwoJhGWWZKMtTY1xOqjnRk/MevbEE6DY W5ns7fUaK2Dch7UGgOwJzJvyqLbQkQ4EGh5Bo7UYoLXu9CRG9+X5/fXlCdzpF/95fP/KsM+f6Ha7 eGbb4r8fFo+Qq+vP8512cvHaoj3JxgWO3ykDBUmPaMQ+4K6rJlM0UB7wvt2Ok5FxcWeyd/fj7f3l 24LnsMRYgzriwkhxKXb+rPr08vz0y6xXd0qFbpopgAYeabN2Sfnn+enpy/nu78XnxdPDX+c73LyB uuMJmVz3828Jk1UM53KAQbycemsEsFpuj9OtMdMNILBQVo0L0HzCzgkGTiOSlW0FaRn4DZpuvYwI 5KIAo2Yat7g/wikrk23UYMJpmbYimaiRdpMYyTXjqkxsflxcO7B8uEl3h6jBj930mgf9X3AIblPT Jju1Gnyj8N6srahjZ8PALaQl/XEcNekhwb29dhYvMMYftaTrYO2CA6OyeCC0B5xBBu+PfGR40nNL 6aOhJ08IoSnb/LXKvKjw70aN6WM2mGjfXx+//AAxkrKN4e7rIlKiLrUFJ3fe/22RUROASHbNIgbN P6ZlUjW9TyrNJV0a+H0SrHG3sokg3FicVWTVUR4RsL3z/GJTPwgZvaXYJbdauohu1RgPDZUgLJcF MSYlUpKtlLLNIrzahuDwAzufNBFYQPoyDkM0TY5SOG6qKDH6OF7iXRuTApYPPrNEikVTi51/kERJ aqScYosIc/bTCh2zQ4G2nvD4G635u7TIymycV/heVqJbsFJxekv2ekZfAenLGjIEltGO5wHqzR6Z 17Q9/JG19IDMiW1x/MMNbf7+sviuqnZabvsJtT9EpzRDUVnoBV2Ho+BGEcUUUXMcsjgOg3MsDLc4 pBgrE5VVp5XLO3rixwu+cebd9vRBrRlp9FiHKxqGAR5pLFCsWpuHmlJpNRvYknjhHys82xRDdt6S YT9YSbxmmhb4cJRRa8elkHiiKvAxLjUxg83rbpf+3+Zf6G8cZPJFnW1xSILa6nXMllaF2lCnj9Zp SSFPBNomEAggbZ/K1TWJ1o7jgOqDfnPAMzEDZ+oaEiCmNpf5pviwnxrWlZrGo+LAQ7hBUTQq6EEP SaPdLk4ttmy1ZKrmo1ERVR41W/aHTwlaUIIMKC3IxiUb3B8cymxc94O9hlYEXDQ6/DCmLZ/kur9e wSXTD5t6U1Y1OyM0Z6oT6bt8Z4zYvOwx07Z39pNhmJietZgRUyl4ym6NmDEB6U+Ba8ktNxL4H613 Ye5VK5cG4KjL7NNQ0uQ5k3k/bHiXNbj4AwivtryIsb+xecqKHRX2ys0msDxOALs98u6A9Bmlc2+H ySVqjlW4yi2hb3VtyeBvFJDgA41FJMVcQwIUiVq83wF5xQ5Li9gM6DrdRfSAdyrgmzYPXUu2wgmP rz7AsyNyHXa4czXg2Z9tvwV0Vu/xVXbK1ZzJ8GuUDJOiTa8suFYXe9u99SUIvVihyg4qShElESxh ym+Fowx5xEQ1NNOkALDVoE5BasFJksGQaZJF1p5RRQQE3US637aGS0F9sCFVe6qKUNN8qPDWQn97 k6inlIri+kNa6vKw3DSa6IbM/cBTHjSwOD2C3/9v8xiJ3yG4AKz4718HKsTIcrKo28LsQDNcu+cR poirvGIwSVCN6ajqAseir8XNsAEZw9flRcv3H+9Wm3hW1gdlGPhPpnwn6oUlh2234KRhBmoIHES6 GAE5Gl7kPbgCP2ej1iJqm6y7Eh7QoyfpE7xbNFrf3gxue24L0jwcdDhEQBw6K5aywyAt++5fruMt L9Pc/Gu9CnWSP6ob+LTRjvSI8JMeYRi+qcNgc/YSBa7Sm7iK1KdXBgjb0oh6F6DA6yAIQ6TrDZLN xPKEaa9i7GPXreuot84aQr12VhCeu8IQiYwha1ZhoKk0A0F+dRVjlsqRYFerNkgNzCdemiCfbUm0 WrorpBzDhEs3RDtTzMZLzORF6Hs+WhhQvn+pMNtD1n6wQZgqCMUZqhvXw7wORooyPbV66o8RBdF/ oIdilyAj0STEzzBtdYpO0Q3Su6wETJw5omILeYkNR+H1bXUgewbB0Kd86fgO2gVde2Xx1xlJSFQz AR8XMEaiGA0+m3q6verrQndOUPYEfJceNgSIJr+y7n48clqTxgWESzcRSQmaQk2lyWrtcFVQu5ZU lpr3UclOJ0yuUYiuYvYDrVlKheqYSCxNmyzK2dHHZB7cYCbbDQMuNtILVHD1jvDYFNnSfIoGQHpc DEA0HwQBKWKDZuv4cwhvSGXAvUT6MZj0rjuDeCbE18wNEoY9gCJQQTAcevvz6z2Phso+V4vhZnRQ CHQuEZ9Gg4L/7LPQWXomkP2rOzsKMDuetYNAQJk2VdNZFU10Ul0+ACR1u66mPRRQZozAS9Myw+Ea j+CBepBrALuwFZU0RNaug+sYgYrDQWX+YHTSLipS41UQCelLyo5LBJ5r7jrYkE2+KIjIJcTGr+fX 8x0TbOZ+bq2are6oPvogblMg8qqkItUTVSkHggm2P81hjG4CQ3Iu/UlVSHmzCfu6vVHqFg5TVqD0 z/SClXIdyNNNQJybmRpShhG8Pp6f5jEDck/hPshEezFNIEJP94Ibgcpbd0NUC07nroLAifpjxECm K4NCtgXNC9vLVaJZ52pIqs/GAV4webIgMY4sG27fgyxcCLaBxLdFOpKgnKcdU4Dwl7lUsojWkBrr CHXhvCQnLaei1js0t4zCyVz2I++tF6KWfkkE8XCGE0/58vwJyjJqPlu4Vw3yzJSsgYlVvs2spZHg EoIkyYpunH52bqHX8qxNZz03IKaRdA0K/TBTgNbpRLMtvAsy71hKSNlZzEcDhbvK6Lq70PFyV/6j jXZyLpiVSAqr4XnouW236laY1VASyPOBHQ/8Q/OVpxMM/XGB9YbMBgDOB9b3POvirO/5wwE1OuU5 Kiu3edqheAJmYR6UnO0ywna1BmnAnOjjRsB+cOv6ATa+telRMMb0aNunWSNpm9zQlyRKvIRQJkK5 nAwR/T7JLVkEmGAh3kPaH/v4Bq6LbbaOfkdR1wsIKYBTTRUhxVNeTCdECuyPZHr3cDJ7MeghiVEn M9E4nglWF1X5s11oyHdda+q79BsYluCk1jNloBcvYiqiIIfCdsVD00w4fxqMx+mjGNo2RgY/jhQ2 Z2Hx20Zo7kNORzWPdQGilrwRHMvflk8qPH0WcAVP5FTbrdboeMaPJlaIFOiad/kAFK9yZlWRYpNh Ioujpa/Ep08ImTgDrZuwqa3rMtIwzz2p7uxSFTgfchOEeixDDgnIm7N0HE3pnOBLdDsjjbfs9FEY spegy9XK3lAj62st8on9vhKAaXUdca97nr9NLJbJ5z7qBBwiqzWxjM3kHX9dWIwSphQS9lcrvHBA Rme+Yhw6fXMg05ITKMCeNIGmFg04pskJqzruDqRQsd05K1OL/45KWB6OVYse30BlmPABdGQtBl/e 7gbjkLa+f1t7XOm8+O2R0HaHyw64/CY271iGZ6es02NYWM2BtjwF45jDQ5gUGVtzg66qIEOncPsG 68JKB4+JmKfJDFD+2ChqyWXYgltVRazOj6f3x+9PDz8Z28AHD2XFmGEHcyz0MVZ3nqflTt1lRaXi zEKghWbGleC8JUvfWZmsA6om0SZYYgYzneLnvNY6K+H4nHPRpDsdyFNV2umLvCM1z+46RRFc6iy1 vMwjA+qTziEttOBP3q/5roLkuTMga+JodGYfGxVVSKAxjdA0g369vT98W3yB9BoyAvy3by9v70+/ Fg/fvjzc3z/cLz5Lqk9MMgfn/N/1ISaMuUHu0MYkSeHxZp6wBnNqVSjTIj16epvnk4JPIzVAURfG +AjUmDUJMBW3heoVsq5StQ8F01z5nVk3zYrW4vQIaCHFzi+afrKl/cykNkbzmY0j6+fz/fk7X++z awDos6yCi62DuY6TvPQM7mXoqs54FVft9nB721dMOtBxbVRRJqAUesVtVt7wuBe5tKv3r2KeSm6V maFee1vnljZv20Os80DzSI3rHUEyMGo+gyATj9WdaiKBmf8BiW0DVvfRkS9fj1ODDHwMhqTwGI7u k4JX5O9ac2OCA9F23Qw4pLiMjRbmE3a+FOc3mDuTX/38NolHUXDlTVFnANaJCAu2CWvvlwKMbSVx ZHjzAPjQghyYYx4n/HSXbo3ad6Zlryk3gDn1CfrAnkTyNEVmGTbxLSWYFtyD5ob0MuwVllJ5sXb6 PK/NIvzF2BoLwQdsJVaKyR04SMGluaUUU8TDjK4cT+8hqdrr49ypEfUA6aSvmAoS3jcGE7c35XVR 97trO/vgnPtNmUXKkTQPlAJuDp1KX7++vL/cvTzJ6WdMNvYn7j81rqbQADwTAdC0ebryOsdsEN8S bNPETD7Ac2CpGqMly2NdI+ng2npx9/Ry9zf6jnlb924QhvB+kn7Bo7oQSMcjuLO2podVfAnO9/c8 gRI7EfiH3/6pORPN+BkVVylwTIZpmVhMInqen1J9DzIrNflJoQc5ZXjgTi8B/4d/QiAmJza+pcpv 490t+Yqov/awFTwSdLXnKPfTAzyJNs7K0zw6JKYgtedTB7v2HkjghRpVoR/hnRs4nd5mDm+LLQKu o5ztyZppQWIqkuaVxY9UkrBZsy+jXYSdF7A/aXZWCeCPQEAiwT7PCibeKY+hV1vDuDMUyZpr3W9H DI4pkXHxafbKvYqU4z0K+SLhybfz9+9MCOQ7KuIDw0uul13Hd2+0QziJOJFsn54OEr1UcjLS86rI bQv/cfSHfNSWXBI7BV0z79J+n58SA5RXu4wciQEt4nBF10qIu4Cm5a3rrQ0ojYooSDw2Oar4YOJu KPs5a/tcotT6s0j6rQzi0J9PwAZslPc59OHnd7ZfYQNpdyiRaPXRANGFp37Qd7ReAG8H1Jl0Qnud 2aECqieOEbd5oLj5ZldLqKTXGeC4tZWBmmzDYDZ2bZ0RL5QTSpEPjV4Ty2ObfNibTXZbldZJHydr J/BCo6kM6oYcaiwFXBAS87P2N0vfaExeh2sf6+L1KpgvGbHV2T7Q1pQVClezYhwRrqzTlOM3rjcv eF10IZZVQWClT8gvE7pylnPeT0Xomy6qw5qYj9Io1cxGz9jS3NXSXNtwk7RxuxkHYrpjpgeBJr4f ho45fTNa0cZoY9dE7pI7LEx2/zmvwlmOxtgMlKUQrDk9d7sm3UUtGucr+GaCj/og0ckdDgf3038e peY3yYSTY6Q7Zuqm3nKDrUKdJNQmiIpzT2ja6JFC38AnON1lah8i/KrtoE9nLfsCq0fopRBNpRgH Rjg1DLUjAlrjBDjLCkVoLxzyHJwgOn9Ui+sjnPE6VlqXTAjPt303/JhpdT3qCFfd/3WUj4oEOg12 3qgUgdPhDV2HFpbWoWttaOrgfks6kbtG9xN9vozyIlym9NFRkaZ5XA6p9VeTOBmkPcMUIoGFt+Py m3kpAb+QRrxOIkGKy2BSIooSAu8GsBWCpl2MunDjBaIepWf5/iqh6n0eZD+2f1N+pw/DughXDnZG gMV5B13H5A5npY3ZUDoibbhZBtgpOpAQdtjr2cAGxMlzXGxeDwQwVVTPVRWuzi0NjrLJMbiL00CS p7uqT4+Yl+hAQmP13V7ZOQI4Viei4Dj4Qk3xtbfuum7eNInQc/SYyH1yjfXngE7a/sDmGxt/cDu/ MK5MiWMKF9K/Bpwrgd18hgGcaeDbQ8o03OiAPj0y1Mkmr7s2xAMDhwlQGonnataVoRkZraE4OroD DV87Dja4A8Xk6GogQFJTNYYBbqpw06f4DLjITt76qwATSBR+3WWwRj6bpPJpcE6yClY4D0KQ/LhP NuuLNGxOLd3g0ubAKTZIvwHCC5AWAGKtO1coqMD4HEoTbi43jRaxv7zcMi77euZBYkw7PqvhVsvb oFdXQ2VNyzbBABuJA6Gu4+Bbz9gioWp8QLPZbCzP1uxPBX6zCuJRpAUqSdDw1IO9EH89kL/Fpex5 Ay4tUsZUCa6G0lGBTcs8YsuUTk9XD8TVdl4BJBjmbye2TVYjHxjyhu4qyLSU1v0poynWDpVwG2WN SJOP3wgjRfgzCfzl1gs9odc9Z/ZDJoEADPj8n4u82XmaJkR9GMhRfJIet016jdHMRvGQG6+CDij9 SQJh7FOmEyK2DMhJEpQuLoqgIiGzBC8joqxO0U11wOSvkUY4/vArd/mIa4J8AgIsuJmX1aa9JTMQ zGxtXOE4nd/vvt6//LWoXx/eH789vPx4X+xe/v3w+vyi6qBjLXWTyo/A0CF86ATwHq4mjFvISjyp p42c+zDNe14lUyd9LTM96i22hT/Ratsig6mBlS8pUpnY1dSy0ySFGeWjblA6jXfJVUqYF4bq1fzO aXnrrDaXykqpWSktEdLhcd7i2yxrQAHBPigtpJc+mJyQj0mhA/kaJLz0O4wP1tUHlAnaQpSMe4kJ tmquGJeJOkwDaHr3UY6k/z9Td/aR58pyg3Xj05fz28P9NIHI+fVefZWHxjVB5g3Er1SUZvrryzTW SeR7Lbr9IIbHfOeFAawIsUAkEr+pr/ZyMBV571URlL8eLD8GWQNIYXlXSyXE7y9j9XniyRPnzx/P d/ytDWtS/m1ieHIBZNCsDCj112q4ywDz9LuYgu/KdRB4uJzEi0WtF66dC/lQgAgcs/g9LtOYP6Da 5ySx5JHf8iCvYONYQsE4QbIJ1m5xwjyc+Ee4FqJ41I0wqS1ptRXgjWVJ5FbwB0aZOmBnBtCBZ3Ua U0hsDmgjCabhDsiVpw+l2Bf1NkptTKfTHE4AsmP6Htxv0n6nJ+LgnUFcHzTDS80ZaC61p6i9lYel sALkPlst2SbBI/UmF9IWfGFoRjTTFkDZd+rc8qoAqy27pivPPj5XaXGpNDdqoBccEzbQO3Cwg+gd rehhxvQCBcuzfUEx5M+g4QqvbIMb40aCcImprxLNFKL17GNgLUKAm/VsfnAwZujj2Hblr8ymMBhS T1puPTe2vCaR3nIfP/TtFNgCuZ3IqPGYweMKVYQ+ogsEcBqahWqyDdgysvdn0wbOJTQJ2iC8gL8K HVxb49gyaFeurTNpSpDNnmbL9arDEEXguGb7ONB2CnGCq5uQTVst3i+Ku8D5YLenbVFjmhDHiXtQ g5UWvFd8P+j6ljIhCHPwA7LxCkwrDJYV9DpT1pwXB7035I3/pK4wHd51/kvZlXS5jSPpv6LT9GX6 NRdRpGZeHSiSklDiZi5afOHLslXlfJOL22lPt//9RACkiCWg9BxcWYovAGINRGCJCJQTH3EY5tLr ngBDaj+Df5M4SJvp5EnJDfbcUBUoWIHpkE9vMwSCFe0RXcrR2jbjuR5ZzrV7t5xrV1tzJqq656gg 2h2uEQMB61ObIpNSq5t5PNmIxT3twW08RCRmwil3vdAnM80LP7gznbvED6K1tc/5Uaf6rdvlEE3R EifG+udHsr5yEhxaaAMu9dplmHvUQ2Re6SJwHU//IFItA1zA1m29G2wbWQAuHcf8YOS791WDkYW+ 5DYx6AviaISJe/FmIendLi5jq30hzuLJZ3Qyi3qIrybWkdGCUmfBdPvoVgBuBbY1IUrlO+U2tX82 43a4/aK8Zp9INyvCALbsjC9Eq7yLdxnFgC91evHsre2LjMwdd5j4BtPM9WxygUK0QxlDQ6grhRSG dku0CmwQN2koLA38dUQimsmjIp5HpplshbnTbhix20rx8NFBZG2oKVKvcY3+bsa6gq8gnuvQReYY JWqlgRGXgR+oe9AaGkXUwjAzqZf6Z7pQ7OmSCewY+PezZm2+9p2A6kSAVl7oxnTBQbSvfGqKSyym sJZAUDxCcvBwhBw8/MDHMnjEik7KJZWJNPskFrEokZ8HaBWuKIiyRlQ0IG/tKDyaYaJg0Wq5tmYe rciXxCrPmpYKkzVig1RdVQNDyvDReNa2z04WF41Fjv3DgHrvtGZSu9CYHtmadSC8HFGZ11EUUHa0 ykIL36L+EK49x5Iz2GUu7Y5WZfLeaVNgkT1tqMg6pBDzPq6EJTFI/vvDp972HzH0DlXp+gjSa2WH Iju0tjRVTd5dmnF+R2S8v06D6IvnqDz+mhlQyaDorVfUsUNKJIRa1yJo26CIwlV4t8SU2Seh+Q5d jN7vA0MDkiDI3FnFZMkvUYTPb21QWFIQmBCBCyOR7p7JtrtbXGTylM0JFYO56duz1y1BK5sqVG1s rk8f82pstjNnnW35S2Wjb3dqTIrNJ2H6PU5JjVTfM8zAqMYT4+NmOtCTJY83bLNRhmZiqNAjkpib JOgek9PxqpXiHIgz70Nf3QLnfrL6vM0iZCC+wd2jxqxs93FanZBJUvv516Yv0WQMwdGp7hAmfJM2 R/5QtM3yLDEDGBTXz48Pk12AIYnU4CCiqnHB43KJj9GGEGeMyzivwHA+/gIvusDAOLm/xNzE6Hb3 fb42bSguhWe66m/2nsD5XbUZky7NGy01JTyyNONegfX+gR9dg84Hb4+xj4+fr6/L/PHlx78nF6JS HDOez3GZS7rgTFPfbEt07OUMelndGREMGMbbfhVQ8AhDrmAld99a7khXgPxLRVZ48G+s6pwNYiIC cw45JfB/1iy2p7JKM/nZM9Uk0ticQ+SYDaa3Mkz0Dz32n2gLOdIalIV33JeH7/x91ZW/yvpsfqS5 /vPH9e37IhbbB9kZo7WiK/k4l29NWwsnT6vb8ZoIFjJFzn58+n7FMHoPb9A8T9dPGAoEivW3LQcW z3Liv+m1RWFhDF3ekZt+6wlZ9WzSiVHF6dCdIhy9gWDQXGxatiPzK+IczB0JWubz3Jr9TysjjYhu oQBD0jKvoVYRk60765NE+KxSBianFz29fAnUfD0jj+t5yIsa0cNaCA3C6fY4S5nlGGKC4a+1zpDY K8xKHVkC80jLVhVVSuB5Tnp4+fT49PSgBLrmcPzj8+MrCLdPr3j//z8XX7+9YlD3Vxit+GDx+fHf 2sV9UYjuaNs8HfE0Dpe+Ic2AvIYF2qxUl6E/1oBaIyUGz9EzLNraXzpEhknr+5bzkYkh8JeUfTzD ue/FRg3yo+85MUs8f6NjfRq7/tKoNOgkYRhQVH9tiPvaC9uiNkZ4W5WXYdNtB4HdOvzXuo/3X5O2 N0Z95WnjGLS4SM5ZYZ9XMGsWsN6EbkT0hAAoS2/Gl5E5p4G8cpYWMleVfppQZDb/SKZSbLrINboA iMGKIK4M4qF1lGd845DMoxWUcRWaTQHNHLrkyYiMn4npgRs1IXn2Os3HOnCXVEoELHdwbxyhdjlU xU9eZPZDd1qv5RjFEtVoJ6S6xtQ91mdQl80ZHZ/XHt8skQYdjuUHZagTIzh0Q6IBkrMXREv66Zc2 oqUPXl9un6H60KNsYAmPAss8CO/1hOCwyyTEffUEUwIsR/cTx9qP1tQ72RE/RBE58PZt5Om+E5XW u7WU1HqPzyCH/veKsW1FrFa9t/o6XYHV5xriVQCRb6iJRJ7z+vUPwfLpFXhA+uGBB/lZFHNh4O1b Q4RacxBPAdNm8f3HC2hoU7bzyzsNugUqv8Jy+3J9/fHGA/lKSfX2DX2H6NIi8ELyrFfAyjHpWDn0 lVyzdNxMlAIUW4pye+WoFVArya51VyuPHAFGYknjQCwWfmzeTPVZQUUo69fXpzf0gwCG1vXp9evi 5fqvxZ/fQM2GhEQOpkYjQmB+e/j65fHTm+m0IpVf6cEP3lpDumEUVQ5JgdS0Blv6PLm/0jD+mB7M 7C0qg2puh6IdnTaZ9O1mguRLqQBuuVV3uxlN3eMELvT1NYBhkIIZ1xTcmYqWDxSa3nZAcAeqLb+l OBVBK50Nw3TtHhVjCm2TfXbzI4JHtaN4WIwBralhhumEbzFYh6i97omhZbny4Haio5cX1CzXkSLB DNjyAPheMYWMaQrTcSBvpwoss1gRJhKrWpLjjvR7yCFob7VWfZqrhCaJG7y9u08LRiD5MdVyGP1W 7upepddxyZ3cTUEsvz49/FzUIB6ejD7hrEOMmYFxA0OR9FYqcbZ9O3x0nG7oiqAOhrLzg2C90rtE MG+qbNgzPDUBOUfZQCprd3Qd99QXQ5lbMsQmIBfAmaVlRf1OHbKcpfFwSP2gc32f/tI2Y2dWDgco 0QAm2iYmlSeF/4IPL7YXJ3S8Zcq8Vew7KdEvA0MXwQf4s/blM2WCga1hwU7oArKyrHJ0QeeE648J 9Sxy5v09ZUPeQcGKzAk0d5cz14GVu5S1NT6vOaTOOkwtT92k/sjiFIuadwfIeO+7y9Xp15NAUfap G5H3PKUOFcEphjxdO0tL0XOAN44ffLC8f1I5d8sgpPWoma/MQKbkoBNH+9xyzCUxV0eMqCQmg+W+ DMm9dlybLBS8Vc6K7DzkSYr/W/YwJitqyFQNa/G53n6oOryPuo5JrjbFfzCmO9CXwyHwu5big//G YIyyZDgez66zdfxlaRs1TdzWm6xpLujH6Z1gD3KqS8pgpjfFKnTX77WvxG0qqiZ3VW6qodnAeE/J 2wLm2GpXqbtKHaotZpbM38ce3QgS08r/3TmT7z8t7MV7n42i2Bng5zLwsq3jvluCKI7fa6I2Y4dq WPqn49Yln5DMnKAM1UP+AcZM47ZnxyULK5haxw+PYXp6h2npd26eWZgYRgNlZ1B0w9BaV4XpnaaW eaP10ZIj7rzEyXnpLeMDdW3YZA1WQXwoqDp0Ne6BOV7UwYQkazlyLP2iy2JLJTlPvbNdv5MYmz6/ jOtwOJw+nHf3F4Mja0HfrM44m9beek0VEMRMncFoOte1EwSJFyrmhqZRyMk3DUvl62LSAj8hilLC pvhei823x89/6boX97iYqk6vOX0PndpBrqhOkvGWuGo8LmZAKoWfUKWqqEwMfJtVMw4wtsWe1ejS N63P+FRhlw2bKHCO/rA96WUpT/nNnrAUBJXTuiv95cqY602cZkPdRiuPEC03kPREzVVxhkOcQXIt ZyCuHc9QlZHskdFoBIq609RVSn7dnpXoBiVZ+dBuGDRNw6t2zzbxuImlK/AaGt5FIw2FdWVbL11j /QGgLVcBNDt5FWlKW6eu1zpuoOYqDjNBLsTleeUv76AYttKCpvVvhp2C2zSB61oBdYuSD9Obxq8a doKsW3fGLDSnkJx51pXxkR3V4oxE850tr12T1DvNoCjOrcoEhO1GL/GucL3eJ5+qoNNMZNmfIz8I JbV4AlDZ9eRrWzLgLxUhKUNLsu8njoKBGPY/dFTqBgMbWLwnTDywaND33CSG0A8avSVEeBzLoMzO 4lQf70VkbddS0hL0OTyTxJ2B4UPPmoOmp6HDv9EN/yhRt98enq+LP378+Sc6g9UN2e0GbH0MwyfJ ZqCVVce2F5k0f2bacODbD0qqBP5tWZ43IFQlfgEkVX2BVLEBgB24yzY5U5O0l5bOCwEyLwTovKBF M7Yrh6xMWaw8IAFwU3X7ESH6BRnYjk4Jn+lAKt5Ly2uhHLRuMYbCFvTiLB3kl6X4oTg55Bi7S+Eu YCEad1tahR1NcqxqJ+JGmJ39ZfK/TLhlhPTHXezSt4oAvBceEOvlpvytnjy+kYzPgiwpijbpt2el amKjQ86AbUBanLtlYFHmsdjierkNLqaw8XQx0Cejd1aLMdLQpWamdfEE2d4dAEvdYDgMBvOW2mDH moNh5TuhrCiRc5J3z+bh0/88Pf715fviPxZg3Fkjs6Lhxy9cjBE55gohki+3DqzEXicf0nCgaEHu 7bby00NO745+4Hw4qlQhe88m0Ze1CiR2aeUtC5V23O28pe/FS7mPEaC8bioMYLL4q/V2R+4HjtWA gXbY6tUTq4hKA7vXhwVEfp89zTO9BW+FmDm0K5oEx3ivmCjpzMOvn52UYKQzGKd40daxQqFDF+2O 26yZid9ed8jKc2hNInUUBGdLg+DiQjpqnXmkW6AGZr5Uk6or3lkQyPgwgChPfgw8J8zpeFcz2yZd uQ51bid9vUnOSVmSDZIpERvemaRTen6CQotvrteNMjt5fXl7fQIpPeptQlqbUx7ktRQMbD6nAY0C lAHuDaNN8EKUxTVg2hfFxQwnppDhb94XZftb5NB4U50weMxNvDVxkW36LSxoZs4EOPqOwghMRdxc 7vM2VTc5h5nDodxvrNvEr3aKZyz8PfB9MlhPS+rmisTBF0ZL6iTvO89bkoq3cfo05d1WfalcUGpL M/jhnqVmn+9lDQt+zI7gugbscB6tfkYx+ubtd49pn+W0k//myXH71+snjBeGHzY8QiB/vMSNQzWP OGl6RTLciMN2SzQrh+taiT+JpB6DwmtVy/IDK1VasscdRP17YITDL0qN5mjVtDFr1HInVS/e5ygZ FXES52T0Ap6G37zTCnSB9b5tVSI0/K4qG8330kzVmkYpQoZngbaWw8u7atQLTv14yC7WDHdZsWHk Y3WObptCb85dDlZF1VOqHsLwMb5/qxfjcKF0LEROcd5VtdpGR5ad+Nax8fVLYzvoRJjh5T89Dets n/493jSxzt6dWLknVXRRvxLdwXeqi21E8sRwXimjmTa/8qysjpVGq3ZsnEVq1iMdf9T04nVjsYwe xJu+2ORgr6bePa7deunQgwzR0z7LchyE5uzYscQIcK0w5KhsqzUu4ovh4wbpYPDwCWHLi8HahYuY UQrc0Gsy2yTFsMBsGp8SveyY3uZgXKvBWxUUFBvc9oC5YJs7ddbF+aU86yWsMahjYk2VxyXfalaj uHMIV0FKf0MQZBjG9X5WaSIeu0rE66/oSk8jd1lsTHUgQl/DKpDRx6Wcpy/r3CoNGvk1Ep+/eKoT t0yZdTeiXba1oAB0v1cX/JbcojLdnrpjx0rvB5A5bUaGuOXoHia50SDdHsOnWeP2IEuP6+pQt77a vifGiqozRNOZlQUd5gDRj1lT3Wncj5cU1lJTEImg48O+p0xMvp7mtXKtiVrbbz7BVU3j9iEeFp68 kSwGeSrrYXo+c0AxSo3h0cvUDAzeW+hsOVepaNU+YdJeDIYRkvZLKQ7VheCNQ9m2UXHjgj0SMcxO pTH2OY9+pMxowVuWNrcoiPP47Pu4HfZJquSoPxyKyxKUxiQbyuw0Gqimr0D1ehd2yfxUQslt8quG Rggjo+1wLhE6RzwJafUSVR062avSPulyex78zVEPIqlMhUPO3zwZLvjYnkfi69v3u7GqeJuuwrPj GC02nLEzBVUpKKenmx3t5+fGUcM/0KGzVnbnMqNG3DeEsvmTOrVBb5AwQYeu0wvE8a7DruQ3pEjp cGPctvTelvx9Hn+3omSjyjVXQu3Kc++5zr5GJkse6NHYXZ3Nym5hHEBiquEx+gH637LnWk3t90xR x1qBIUDMWgnP7+MWUHHwpyYj+7p3fc+sfptHrjtWQan8DYCms81+wZMYUqOJ4tUKD2m1llNFc8I9 2FE7LxOMVXzWifyNCu5C/DY7TpxcbSZPD29vpvHHJ3KitccYNFklntJCHwWd+uhFxGyHhfK/FrwJ ugq0wGzx+foVb3YuXl8WbdKyxR8/vi82+YFHa27TxfPDz+mNysPT2+vij+vi5Xr9fP383wuMlCXn tL8+fV38+fpt8fz67bp4fPnzVZd+E6deKmwI9vzw1+PLX9INP3VIpwntxI2DqLKijqa2AKP8ssjy LC1b6mSaZ8l7LW20lU2Qq/bm/LJ+evgOdX5e7J5+XBf5w8/rt6m9Ct6/ME6eXz9fpVdkvA9ZNVRl flFzT0+Jrw9JpPFVzrZWIG4vkRDki1ZXBG5JYRqLQ2V1PAHmGYXzlA/tHj7/df3+j/THw9Pfv+FW ENZz8e36zx+P365iFRQskxaB14r/uL38M5ZGzN/+VPLGgrHJD9DlbZuluNlGqXC8d/d4DVs+mpKp U00oqGgLSyJWnC3IvKWjyW4laoFENCXaDUCHpY3YwLtND95+pHzo2zb0tG+IiOuawBRR2BNz41JC x2pYe2BkM69wUlwxaxJ0ymwTwiNXc/BddZtPQsVe1P0ckr04fjaR0x5Mt30WdySKT6BBvCYZGO6G sjnlXcMaezbWmBEUe1BDQXkQkviyos52ZPbbLsUokxVZviMsYA2ZjNXxBzIJayxFzdJdZn28TfCB Xfce6zZyPZ+6c6vyBHJoK3moxWDBlnQt6hNd7b63DJNDdmlrsDTqlPbzarLeL/chbxlZtEO1wQs9 CT1aiqQbek9+cCmDeCBKI1UbhqobFx11gymO8Hv1Q3bjpRXBdu5/JbcyPhbvNVade758AChBVcdW URCR2Ick7umh8aGPczWmqix76qSOzgGNxdvMCkADpmmmq5GTQMuaJj6xBmRB25LFbS/Fpsot06uz Lc83SbHJmt9h4SK/fgZBWRW0BDuptx3ktq0tu7UyT1GyMqPFH6ZPKnoGnnGjYyjoUX5i7X5TlRnd TG2v+O2Ru7Uz3HKMSF+nYbR1Qv/dYWsoCLcVUrXByaUyK9jKKAIQPfr2Bde+077rqZ1BUaZjK4ed RxrGDurG6Dgy2bTSptUjuYTJir7tLtj4JTCbeZjyfWH1Y3xVAZtf2yvhxz/jlcs5AacOxZbxkKYi xojRTayFP0fy3iqvnVE50NLKJDuyTWMJW8cLX53ipmFqeHieWotErNnebdYJa2rLzl1Puo0RChWe GfP7oBL1Agk0LS77yFvtrGm8uIkAf73APWsW675lCf6PHzi+XvYJW64c6hYnby5WHgbohEzcL9PV 0LhqYZGSt2fqLz/fHj89PAkDgx7c9V4JRlZWNSefk4xRbtQR40ETuNeq2Y1uvD9WCBIkoZluLtMu lqm++uOFcGlv0lJ0tc12Magd1E5Wd6kzxSEoJwxdUlMTQoD71G9b9U3zmIr7P4rOcst2P79e/57I cbb/kV7lqNvtvx6/f/pi7qSKLDFCc818HApO4Ht65f+/uevFitEfycvD9+uiQNvK6HdRCHwVmXfj zoLWUuWRcc9AAidPy9//ntzNaJgM7Yl16lFaYfGwUWQFBg6irkHghirII2nw4S9xFUi6OXSjCQ83 JMLPnpIqrxT1lzNsGhQCJQra/QknV7nLzDN/YDVbl6e/+YJXvxvHnevJoa4EtfQdL1jHRini1l/R ofEEjOHvfC2zTVKsfNnx6EwNIuMLie5OXYMbx3GXrku/F+MsWe4GnuPTbuE4B3eu7Bif5mT6WdeE r5bv4GuPWmRvsOPqHSAcFxplEZGGKauEw//H2tM0N24red9f4copqXrZET9FHXKgSErimBRpgpLl uagcW5lRxbZmbXlf5v36RQMgiQYbclK1lxmru/FFAI1Goz9M8yXZAEQkp3h1j8Vx9BQ4CHY79SZh L4sNyoYuBuZ4FHSUSq5H0rFPBboPxIZLpXHiuD6bRHRwcVkzGflQoIaoxMYKTF0jVKYca+sFluAH At8mMUTZs7XWFkkwc3ajae6ClJrNERnrzDUZ/GVUdt2mLl9pBjRnnrMoPGdmtq0Q0krVYBNC0fn7 0/Hlz5+dXwQLbZZzgecdeocsvtTT39XPwwPoLwajmYNUUJrDL3ZNthwNHqI22780gyexO9IyQ35q EU6/e04jdnNoCRne492pdbv0cfjxQNiy9BzhHNp/yPb1+PWrYQ0tq+Ase2nEeuopQF8DWX/ABZe2 vcn5v+t8Hq+px4+Mb4o9X9TwvMaSZqPJOQKlB57T4ERNTZuAkf9QHgBl4vhh5ERjjDzWEGiVtBW7 o4GdLexPr+eHyU86AUe21SrBpRTQKNUPAUjsqlXArrcldoyXwYpaPvLOe0U7GaFEvm4XMnWa/rF6 TN1UtETQU/C+WgkgaqJ5CehftqFXo8O6KzXO3dJh4vk8+JIxj8Jk1ZcZBd9FZE1dliUDnjJhX26B 75NszW8rdzR+6pufccBAtq2Ln4qThVMy2rgiWN2VURASQ4fcYjMUqnNAqEQyo9YIQ2uaxsJGNBoR kflCvxsWJB4Kza0QOSscdxLZEK61iBuOx7rj8GAMrpNFFBhBY3XUJCQDJ+skHvXNBcaKiKhZ8p0W B/XCGHOBGESj1Ac94sZzr8dfahwMtuugkXSlLzAkITEwjIuGs0k8Riz4eeCRQ2r4piOjc2kEAc7t rBclPQA6gqzkAvp0POJmy+ERWSXEjb40zywox/WxlG/4qDfwrfPLTAtmcebZ5ndGHbaItxCrXcAD qkrAkDHMEAHxkQA+o1lFOHNCci5nU9IPaZgwX07lCB46DtGU4Ac+sZIlHyN4Mt9TruN649GUST2d GbteeIGuU5Xkpp87iHv24cGTMs/1rB0gGalYdbPEHZ1y/RvuxRaTsiL2Ip8lNyKYHIcHRkRxDRN8 sCDCKNgv4jIv7iw1hJZbBiIh49wPBFM3Ciyn4NT/uP5p9DdoLBfRgcT1LUFVehKRt+MSR2ivnWkb E4dT6UctNTcA98ihA4ZOD9ARsDJ0fYIBzG/8iNoQTR0kE2LLwVqcjKsZBflW8C9365uy7nbJ6eXX pN5cXq7dEzkxShVX9uJnX7T8L1syr/5riIwEF0maqXeRJcmkLs+DLwg7vLzxyx4eW19tCtklaatA jppvFuOoyexunYBLrZ709FZAkS5ZFR/3VCL2ZbXNBv9gvUOA7QKhUeYRimSVxXrCbR0qLhRZqduJ GqPpSsWbXfekoFsBp74/JXPMQLROXW6Tv/fi0jX5y5tGBqKzXRyudyVvlCV5vreYerdOeO1pDF+9 m/Yxt3qwDKTTyKYNcFOJCQqGdiVCKhD3Jb+DGpZMPSE8oYC/4xzyndO+ADoJpTzS8J0Jv96L4aci ROvGEg+40QMka1DdNFeFKyuz9WYE3KY10msq8BzCUJODUAT5ut6g+3TXSEl3VDaj/QJrEw0iHiHy qi3mJrDJdYt8CVNDGRoX0HVG36ckVtjB2dHQJ6rjAgm+E6yze5ZBBjoeWR4fXk9vpz/OV6sf3w+v v26vvopA57oFeB8u8jJp1+ayye4M42cF2meMug+yNl5KL/VhLUL0PHq8TVsU+XzE13I+cW9nZa5n xLF+eDg8HV5Pz4czOgNiziOc0NWtBBRIBQzrAvfh8rLOl/un01cRk/L49Xi+f4Ko77xRs4Vp5IR6 9VyawHVfqkdvqUP/fvz18fh6kKnb6DbbqYcbFQCV3M8AdpmJcXc+akyeNfff7x842QtE0P/wOzj6 ec1/T/1Qb/jjylQAIOgN/0+i2Y+X87fD2xEdfnE6i0hlu0D4eqvW6qRd6uH879Prn+Kj/PjP4fVf V/nz98Oj6GOij1JrOpiZiR5VU3+zMrVgz3wB85KH168/rsSyg2WdJ/oXzaZR4OufVABw9NcO2OV1 7Be0rX6pYDu8nZ5AnfzhrLpcrHfQev6obO/gQWxXgx/sOwdLtQ0eX09HZKAZi1ijtLq1WpOz0NVi NiUy+KIXjjbbL9NyamS56fgZ2y/qZTyvKv29eZ1zAYXV2JEUQnEsKD1IxxOhkqYqKXbZxVIhh9gR 0U45HdaIGNKDqyUFrGrwDqe6YnN17PDgXEwUu2Br0Y9fhI1KhanAqEvm01gHp1OZ9p29LcdVGblN O/Amttib9QSMcquqc9/zBqPjtz8PZ2Ql3jl9Y8xQ+y4v9vEuhzle0A5hizwrUuiATSW9rIp0kbMV JW5CBtCk0Ay7+A8wnudTfL3RfW8VIcQp4QtXE/7lQ4yqZDiXOemKpbSf5FDkkhYVU818fLvWsCwP PJ+6FBk0gUP1GlAOCi6CcT59n8ZEU+qyoJEkaZJNJyHZPuBQRkEdx9wJ5Lqu6Z73eda0r64SD5PV ERkmNWyvH6UGST+1agTbxDY/9vS2GpFKI1Ti9+PVLd+Na97t65EclzydHv68Yqf31wcyNJFwqwAL d74F29Cfk2yerKTrXRnnxbxCfrp9ippytaEf+CCVVrwveTlivKpGw24q519ho73dSVYBh+7x4Uog r+r7r4czOB5ovhAD7/iAVD/toCXxlrYY3/ibw/PpfIDsH4QaJAMvVXgW03QvPYyvYRHQXDvdR1XJ Jr4/v30laq9LhsR6ARD3Q0rXIZAiGM5SOCz/sGEAYGL7W+PQWdSp/sSHaBtgU9vrwU/vL4+3XBDU wp9JRJVc/cx+vJ0Pz1fVy1Xy7fj9l6s3eD//g89KatwxnrnczMHshBUyndxBoGU5XuHh0VpsjJVx oF5P948Pp2dbORIvZdpd/Wnxeji8PdzzpXRzes1vRpWoL3WzyZOE3xq5gETbaH1Ul6js+N/lztbN EU4gb97vn3jfrYMj8cP0Jvu215Pvjk/Hl7+MioYTOF/vOH/b6IuGKtG7Tf+tBdFLCCIj2qLJbrre qJ9XyxMnfDnpnVEofqZvu3Ca1TrNynitmYbrRHXWAMOKZeIsigAENsaPdxrdp9i2lI4Zy7f9Hul6 PvLAHQa5z7bZWuN+2a5NhF+0qCD768xvAZ1j4agaScwvFMn+syGAKtSCxVxUoPWsisTiWK2wVGri AeV5Aa2lH0gshj2KYJxbtkO0azPJDiZoWkggHBNFWRkEZPx4he+sZQeZAPK26W/5uY7MQTEmYigh gn0XV2lOkYIC1gaXrIHEglXjKHU74K9B3gUqDFbWNVxUUD1EWPnngpFl8GC6VhnskJ7E1UnYLRHT TSFUgdEZ+pEKyfnNVCFNUJ7qON0Vnh9YIwV2eEa6VAqsbnCgAOadpgPTt6N5GRtJuDjEJeOucoSv +0vI31i3oGBGF+Zlwle7dGAjR5rGLqmCT2MPPwTyBdakdM4PgZmNiMn3eTGxrezQ3oMrF15FPQ6e WS/hwYCtw/ftXu9YSj2EXe+Sz5AEQlMtlonnYtuCsoynfmBfFB2eXhSADXU7Tg6IUFg9DpgFgdNl f9TrBThdJ8fond4lfJLRiz0HhS6ZPZ4lsTfRlw1rryPPcTFgHgf/b9pVflYuyxieY9pY3x3Tycxp AgRxXB9vlakzo19dQUkb0s43gJpRH04g0AblvyP0259iRXA4Gf3e5wt+IosI3kWRFRb0aNPzmza1 TQQi2iPWBAnlzcKWPAoCRb0og1I7mqJaZ9joGSA+tS0AoVu0xunMD1FVOWhFQBBA9e1qd7IDKFUn R0aRWSRJIJW4Y5YZ8PCgaqkxjWfAw5a1rLODFmt3jyDZepsVVd2FLcR2/qs88j1ql6x2KIplvo4h hCyquGgT158ibihAEVWfwOBUOhJESSsgBUlbo2E/c5DjkPb1EhWZ1C6plQEMWJY9a4BZiHl6mdSe S8YkBYyPg9kDaOaQTWXr/Renn3QFXcebaaRbHUmZzJxHcY1kdZnvc2PNDJitbdkMJJyC5IGpkGLL KjXN1FtRZiIz8xgwDw28g/ps4tJ7U1I4ruPRaUwVfhIxhxQgu/IRmwRE007osNClA5hzPK/UCYxB sOlMf+CRsMjz/VHtLAojyjVdVS18A1BFbZH4gRHKXdoC8iVGbmChK/NGO3i7CJ2JySjUNXA3mvF/ +kC3gHx0V1mXkE4TIZqMn4xmZAJcvVZYqRO+P/FbpXHcRV6I9vmqTHzT5LVXOPQVyO58OzwLjzdp OKJX2xZ8k9QrFUYM8V2Byr5UCkeutXmZhZaLWZKwiNzAeXxjCiV1yaYT0qaRJSmfS5zCWsK6x0sE lD65VD0QybGB0PhsWWNJjNWMTPmz/RLNUE7d0WeUBjnHx84gB961ktPz8+lFV1nQBLqYWTL1jZka lVRBsbor11eqy6as7ktJnaspvPYEq81cH8e4YkPmxZ2hcehB2cCp6VKPtnLjnCFZq1jutDQXTEL0 oBl4oSGsBJ5lpXGU79KCWeD7SNDiv2fodzBzm/081v2VFdRoPJh5lN4SMBPc8dD1G/O9PQij0Pw9 luWCcBZa7m8cOQ2QUMt/R0bxaWj5ClPj206nkwYDZg6uC5KPWj52FJHWamldteDgpQlNzPex4M1l E4dfWyyCTKiHqShD10O/412ghwaH35GryVJcYvCnLr6tcNDMtZyBvKuTyAVfNHTgcHAQTB0TNvWc MSzUrzfygJEfQLMxuLD6e9OVx/fn5y5etXl+KIWgCLVNMvtRBf8lsz0c/uf98PLwo7dr+A94e6Up +1QXRae4lk8l4q3h/nx6/ZQe386vx9/fweRD35yzwEWZdy+Wk/bC3+7fDr8WnOzweFWcTt+vfubt /nL1R9+vN61felsL38PWIhwwRU7c/7TuIbXCxW+C2NXXH6+nt4fT9wP/2OaZKXQ8kwh1EkDSe8AA hXhfCfUQuQPidNcwP0CKl6UTjn6bihgBQ+xmsYuZy4V6nW6A4fIaHNVR1htvondGAcgzYXnXVBb1 iUDZtSsCTSpX8nbp2RJM2ydJnsiH+6fzN03Y6aCv56tGupK/HM94TheZ7+N0yxJEOTqAyniCQooo CPK2J9vTkHoXZQffn4+Px/MPYsWVroeSUa1afLVagbyPr1YDrmWu5SaxajcWDMu5PEZecTjCRSqc UbclW+Os4Qy+ps+H+7f3V5me+51/BsNkCvaDT94/Fc6UAgRwSuvrFZZUMc7L3AkNBWiutpOV3NxX FYum+rx3EHNPKSgqfV3uQjRp+Xq7z5PS5+xg1AuaiNYFAgnfnaHYnUjnryOwtKyjjFrx6dPuC1aG KdvRZ499lvWNDvMi/E+fKejwLiEdcUX2jGEPaLP7Od0zz5JZNU43oN2wSIiFRztwcQTnMuj9Ja5T NvMsSYYEchbSyPnKmZKPPYDQj4uk9FwncjAAqwE4hIMo8wqIPRCgomEYaHUtazeuJ7oqREL4MCcT 7eWlF/JZ4c4mTmTD6PEeBMTR7Vo+s9hxdTGoqZtJoMtlRdsE+hNJseVT4ScMcU/OaXGyWAWj9Ijr KjYdyaq65TNGSaU1754IIaH1gOWOo5vjw28f1cfaa88jFwzfEJttzvRP0IMwFxjAiA20CfN8bJsk QFNaH93NRcu/fED6+AhMpA0HAFP9wYgD/MBD8QgDJ3K1ULvbZF2YMyBhpBZzm5VCx6JVICA4HdG2 CB2SFX/h0+W6ODAP3vXSOv3+68vhLJ8GiDPxOppN9VsN/NYvSNeT2Qyfkup5qoyXayu/1WksTy/x 0nMc9PSSeIGrW2cpzikqoeWerg+X0LpYZKyGVZkEke9ZEcZKNJBoPXbIpvSQSIPhdIUKZxgYk/Mm Z3SIM/SGlRnlBmlaEKGSJx6eji+jxaCdRAReEHRBHa5+BZvjl0d+C3s5mLcsEb+42dQt9QiMT0SI L0BTqa7QDaqz7YVLhcJ78/7l6/sT//v76e0oLOyJQf0dcnRr+X468xP4OLxU69oBl/THTxnfpFhx H/jmxduPsCZfgMgnBn7jnhiPBhzkeKQmn2MQXxKkE5y1ta2LiWOmaDfuAcawyU/Cp+KsR1Iq65nT cTxLdbKIvM6+Ht5AwCH40LyehJNSs6iel7UbTczf5rVNwNBOTIsV56EaV05rLu2gj7GqSSVpntSO cSGpC8fBuhABsUi7CmkopDiUczrqAChZEOr6EPkbD1HB8K2Swzz0AKUYnog7SB1ugXErW9XuJKRZ 95c65kJUSK6U0fwNouYLeCGMp5V5My8YnVCIWK2M01/HZ7j/wDZ9PL5JN5ZRhUJ0CnB68iJP4waS TmT7LbU3y7mDQrfWyJ2sWYAjDY57xJqFxVeY7WYWiWbHu6Uzfl6FJvKBGOB1V77+ZA+8YkKkvuy/ 9sVv8o/9TGZIrwJ+J3jjflCXPAYOz99BW0VuYtA+ziLP4HF5KbMdV0m1sQWXLovdbBJagphJpCUQ WVtyKZ22NBAo2me45ecPKegKhC7TgU7CiQLkaEV9hH5x3WpmtfzHOJIOAO0xewC7YBBAmjIqB6yI aqa7wXKYiCMWBbjl9rYw2+WgfUGEycubm6uHb8fvRGKZ5gYsxfWKIPxzTi/ZUT19NTUEd5cujb34 o2JCV0kba4YanIdlLRihtZBqUTdOk5h5k5SsnasnQWQaLfC5SE+/vKXMowUBZC+/Y8mQKKVe3V2x 99/fhFnqMHTl164CcI6BKvc8Qs+Tcn9drWMRXxSXhBLKH37fVk0Dpp7PFDK1FpPRjC24uNBTowEK 1lFe7qLyRgT+RLgy3/GvRIwAkPUu3rvRuhQxT3G5HgUDRMsL+iIsQizePtBoXNerap3ty7QMw8nE LF8lWVHBA1iTWtJnAZUwIJARWf8OjblUNSqV7UuMxUrUciy46NE8Gi2dfqxgOAzRBrTx5WkBaYw/ ZwnlyVbqpqP8B9/l2odvhO+J4cPX7cZ12lR6EksF2M/zdZo1fH+h6AMYSyZZMCpQURB+++n3I4S/ +9e3f6s//vflUf71k616aLwPWGB5u1fOhNppPl9v07yk2F8aa5GIRGQz42fPbTEQjE1YKpK1SR3x 7dX59f5BSCHjNF2MZL2SrbRanNIOsl+2KGRqD+eLy6KNVAQ1GV68R4tTQresJ/o91ArelGRzC0Ze wCG0Kj+Pd4POUA9gO7L1h4i4cbqczlyNASkgc/wJCrIEcIstOaB6X6bxRXXkjVCX+6pGO4nlFa2j Z0VezsnUb+Jiyv9eZwkKWcBFknVruaaWlWXNGhb48qHw+MRlAcEFtG+2jUE25XIpv+vWccP0w4yD 8qrEPCLbte6e3JMc4+31la0AnNWwnM9BUoxRLEs2Td7eIYxv1uKDH8N+UTWi9RGtpQH/QgPdslWw z/MUHRTweywADV+lnCdxskIhj5ssZ8Cs6G/zWSC0Bo1eDy1rfSanHAjsopkoDgmTIfAx1ZFd15HB MopDbjZVS2/Mnd5RK0VDnReAqNZFzs9SI9qlhgF/1LzBqNu4WZs9tE3GcsFcY0BVImGUer6VM4R0 hQr2wTB7Mj7vXEyE3bq0TlJP3GzW/ARfc7r9KCCOQW0bocTGjK8uze9maCFb7Ldc3FtoS3ydF+qz DC9V7mjgAgSLhf5WqsR+F7etzhNc42shL3iFvLiCBZH8ihcaFqkKpSyS64kXuya48CRUCSSy+FJR QH8M/MLalCzfoCTmDJ/rNp4DLqCYd0nIfg5OsPyQ0HAQ4wdceq9lTJT+LrdOwaD0zoJfQICXpLmr ja+ig/ntZ4l2BMfCEmmp9LkL1odx6iQYE5BLgHAmQ9XGEkHUKhiKTisAEPtGOHaKsw6s3GmJFpLM qRLAC/gHoK10BYVt30hs22SITd8syna/pa7VEqOdLqKCpNUmGPJaLpiPNpaE4b0mTivsim3kTx4U LDIgEbkRKj5pRXyHDo4BBrmU84Zvj32ao2mhSOLiNr7jveS31eqW7IhWCuRiynhbI9nxNSGGTvas zPiHq+o++lBy//BND+G7YKPjU4EEP6K5ZEex4mdbtWxiSgDuaIzjvQNXc2Ane8hciiYHkLDdGClL qd7LkaS/NlX5Kd2mQpwaSVM5q2b81mhw2s9VkZMpJr7kkEROiy2SLrqiXeN0g1LxXbFPi7j9lO3g 33VLd2khGLzGYRgvZyzP7cJ6CnBElzg2qVJ+Wi+z33xvqguE1sLrdiRtCJBtywpkc6uL3RfHKDUj b4f3x9PVH9TY/6+yI1tuG0e+71e4/LRblWQsx3bsBz9AICRxxMsgaUl+YSmOYqsmPkqya5L9+u0G eOBoaLJVM+UI3QRBoNHobvShotsd0xY2zd3ajCYQDS/mrleN+N1YuDauzLJoOnp+FieRFAY3nguZ mVPuaHxVWthjUg20/GFhOEexboSdGIkL42gDdXISNVwKkOrNTBH4Z1iPzjjgz56hXsSlThaoM/KR SyyqRS7nJpYhhzhSL/42Oaz6beU41i2BSVBA6z5dtzS0n4gqxptNaG6ih6Z2fhCObFynUYMzkfz4 FgnXG9RhQLK/LYpLrEEI27qgkrsDCp3TR0WHwYGdG6IJSgLuT5wN64VuleqyzmTB3d/NtLTYU9sa 1iq4KGb0Duexzenwt+bh1C2HgmLOvgVQrZIRxZCnzu5jIRhmLcEy2TN6TIhVFxy6C8PVhgkNZDBd eK20pW2Ao5Nuoar5HUD8jfEdokDgtqwJUC/z9MwedFUEeHFiEmdS9oWUjrf7l8vL86uPo2MT3DH7 Bpi9RbQm7Mtn6mrYRvliXU5asMtz2r3KQaJXw0Gi/QQdpH8crVUxxYGMgtNweUFRu4PyOTwNF5Tv qYNyYBbJsFAH5SrwWVe227INI13cnMdPbaoaIGdX4fkiS3ggCshDSIvNZfDZ0ek/jwpwRvb3qqSt 9ki7VzmYXfMp3fyZbj5zJ7EDUHfqJtyb/Q4QItUOfkUPZBQY4Cg4QvLaHxHmeXzZSHvSVFvtLk7K OJy2Tq1OD4MLLJQVeJlGALWwlrk7UgWTOatishpoj7KScZLE3B4xQqZMJHby5x4C6iGd5azDiDkW M6TO6R4jq+MqOCWHx1zVch6bhcUQUFcTi/6jhM5+WGcxdwqrdWpI3ixuTDHPsv3qmLPN/fsOL+69 FNF4rJmy7Ar1yJsaax56ahtIKSVoU7BwiIhJcOlTqZI1YEXekdnpENp20SKY6w+/m2jW5PAihrYN 6unO2tREqSjVDWolY7NKrm8E7losKb3rppVpLXt+BytYFczEN2MyEhl8BBpKUP9Vsg5nlsrgIR0A gfaVJGNduXXQg0GKRGtMmdeSU4uv7L9cdYJ192YiKUyjPglW33V9/Mf+6/b5j/f9Zof11D8+bn68 Wldn/TSUQLz0vulRqjzNV3TOwx6HFQWDUdCXGz1WkrOoIAtx9ygrljJyvbD4bikqMnmm8QIQpvNF hh7wBD2Y4EYwmaxsObxRwFYJgOXhmBo9s/ZJAO2wFTnwkIICoQA7dOtQddu/69a04bVNmEsjY1i5 lAKycpVirWggEJsNDCjGVpaWaTJOmfUDFFFWoohfcNnE0fJ6dGLcLwIclEXMyEeLv4iQTUkcA6OM BxT75Z3Rooceb5/WH/fbh2MKC9WMppwxS8ajEE7PaUceCvd8RImFLub18f5xPbJGtZDoKFbkcGit 3AGBWh+1oOBAYFtJFpehSes4NXLvNK4URWBKplUzrmM4o7Mml0j9eRYxK82UsaZhQgEkOCxqoXeK ynvboQw2o1vy6rydlYGfM+Mwx715jNGI317+fv7wa/20/vDjZf3tdfv8Yb/+voF+tt8+YMGwBzzW Pnx9/X6sT7r5Zve8+XH0uN592yivPu/Em3LeFEk9hS+Ho6PmVQLaZ3/jvHl62f062j5vMf5l+991 GzJpXJXjHFboPITbnlwV8g1eKb2DyOOVFBNzEg+gNSGtk37mVshxHjBQq69TdwrAjvolcvMuO8gT EKuCuN2FOj2vHTi8an1wuyvBdPO3BPJVFy6GTV7JF3lvkN79en17Obp/2W2OXnZH+pwb6EEj4zUK KwytwWo+9dthZ5KNPmo553ExM09lB+A/MrNKMRiNPqo0ufLQRiL69ZS7gQdHwkKDnxeFjz0vCr8H vLzzUUFaZlOi37bduqFvQYEdZD/Y2+HUFazX/XQyOr1M68QDZHVCN1IjUX8oKaP75rqaCbvKSgsh aw0W719/bO8//rX5dXSviPVht359/OXRqCwZ0WVEyagtTHDufZTg0YzoRnAZlVS9ie6ba3krTs/P R1fdxmLvb4/oUX+/ftt8OxLPauwYxPD39u3xiO33L/dbBYrWb2vvYzhP/dXhqbuLMbMs/Hd6Asfg qg0Qc3fdNMZSVP7+EjfxrWWw7L50xoB53XrrMFbx7ygN7/3hjv2Z5JOx31b5NM0JQhTcfzaRC2K4 +YRyX2yBBTWuJfE+OJUXkvnbM5uFJxZri1S1vyR4E3/bUcFsvX8MzVnK/MHNqMYl9Rm3KeuzpkTb h83+zX+D5J9PiYXBZm/YyyXJV8cJm4vTsYeu2/2ZhM6r0UkUT3zyJfsPzm8anRFt5z5LjM6bovC/ Mo2BkJXTLMVpZBrBpghTDsIvTrxOoRnEXrq/z2RiyW63aYHabyTHrqVrqhkEaeLtACDDZlto+tmb yRK9AcZmTYSOBU/l6OqU2GiLwhHitfiwfX20HA97tuOTBrRhpmK/a5bV4zhwf9BiSE7ZSXtazBdY F4AgXg3wboM6YmWpSJKY+WyVoYkn9FBZ+WSIrRfEtzmu0TZwov4ST81n7I4dOEJLlpTA9f1RtMcB 0WUp7EgCHy4L0KQPkdEZQXqVoL3lOvAidys2aLp5eXrF8CQr50o/ZROlprqLol2Z3DdcnpH3a90j PhOBthn3WpX3U8tO5fr528vTUfb+9HWz6zK+UCNlWRk3vJCZv48iOZ46FbxMCMnnNYTikgpCHZ4I 8Br/jKtKYMSC1EY1SlQEzTg+cKXoIHbC+G8hy4CTkouHCkF46ZTpIM4mrqbyY/t1twZtaffy/rZ9 Js5VzK5AsR/VDnzEJwhMx6CPM6M6YhCHfF5vvP7xMAoN6qXHgwOwhEwfDKyG7L07YkFCju/E9egQ yqEPMI5qd02H7xtE0QO7ErD7I87takaFAtk2lqZaFYaNywAW9Thpccp6bKMtz0+uGi7QZBxzdPPu fbwHG/6cl5fodHeLcOxF41D+MYD6pStAGOjqi1JosB/aqquNTYXQDo7KdRVH5pRy0sSPOUe+K2Vi f/QdFPX99uFZx7TdP27u/9o+PxjO/5iLUyiLILz7+vgeHt7/gU8AWgOK1KfXzVNvZtO+KmFjpg8v r49NS7iGi2UlmTm/tJlZW9KIt7n9wW7jc/RP63Boj7TfmJc27DXENiSLo4umuDHJumtrxqCoAq+W c+Jr0GubScDNpsJ2rGLKVZXyYI5B7sLijwZddjFqIJJlHG86pAqGMrV/EyURWQCaiaqpq9j0buC5 jExmAqSdClDc0zEWoDQilpDomOnfKflMOfTwtFjymbbAa6tbv105aKlw0lhNowsbw9cFeBNXdVOZ HIZ/tiwg8LMPQ7J5jYLABhfjFZ0G1kKhJUaFwORCm8mdJ2F9Qv1eBMonhSRTbuTtA4bn62Lc0Ml7 5cugwCzKU2MmKJ9JZKRwRNom/zt9FjitIDz1juJ2aySo9jMSGySnof3JxKZ6QZmK6EY1U/jLO2x2 fzdLs1Zz26Zi9gofN2am/1/byGRKtVUz2AceAMvZ+f2O+Z/m6rStgXUZvq2Z3sWGVcEAJHfmHZEB WN75O5u4PB1z46ocfqg6EJXKpG76HbKyzHkM2/tWwCdLZt2xqpgmMypPN6kyvSkr7PbIGm/KbBf+ tqEZr7CQytCegdbRlBoOnAtj72wYAuBd6i7WPNOR/yCMRZFsqubibBxX9utgzhIm8RJwpoRdc33U kxgsG3CvLaeJntShS11Syr0ijm4MpjhN8rH9a+BThqeF7ZrKk7umYsZzsbxBUcroNy1iTBQ2nLj+ vSTAJ5HxFozalGjaq8xrqUmeVb17pRnfAu2kSzPiX/68dHq4/Gmy8RIjZHP3bECSKDBc07oX6EEA kQLXFemaodc9fBOBV2OpCaD6SVKXs86nIoSUcrzDNkaGN02RKMyalCXQiROnhz4Q2fRwZKsnHtj3 ZZ2ApVpfd9vnt790moenzZ64RVNhG/OmgsPWkgt0MzpC0rZ62MK5CnWZJiAlJP2NxJcgxk0di+r6 rKekVh71ejgz9sYqY2lMOLlScJ3W2JAF0zFeuDZCSsCyaikhNvzf3qBdGy43wQnrTQHbH5uPb9un VmjbK9R73b7zp1e/q9UNvTYM9ai5sIqbGtCO0QasIQZmWSQBccBAihZMTigJYBqNMdgvLir7vjdT 9y9pjQYmjPyitiXwcKFj/05Pzi5tSi6Ap2PkdEobzPBSXL0BsEiEGSBgtaAYjgvnbtT6ulKHm6Hn e8oqbvBtF6JGilGMK3/KtZ+GdmHGkktFTYvxv0sD/zJLCrbbM9p8fX9QdXXj5/3b7h0TMpqh0Gwa q1AGeWOw3KGxv53VS3N98nNEYekEGHQPbXKMEn3DsD7Z8bE9l3aMQ9fW+n+HLqh7NLyzU5gpxj8H F6zvsPW46c9udfTDMs2BJM1x4G9K1+7Z7rhkbcxmfCew86FXBTM708igAhZElxo4xkKEpdOHiqxw 25x3Oi9RZ0nq2CoH/zpUuRUiSWm/RTv2xGqXI38FceSeot7e5ff9GocCMmbQkjEpf5753SFcySSU tQGfzReZKZqotiKPyzxzNGgbAvTQBt6GOh5Q74TM/ZHpYDHS3zCpxx2S9UkK4EWwmSTZzi0ICq2L iT3n/9COAoYSSxpt07o4OTlxh93j+qc+jde7aUwmv4OOQX9YAopyx2t5qHKFqfFINtgnsP2oBYks 0qcAIfXoLm7hM6eVYkzOVNym/koBNt4LupEULo4c+53Ba0BlnJYkxBmAO8ZYVjUjdkgLCA5FV+9T vjIOwzLmD6MpJ8DX/O4tMCVPcTXIOUOu4RtWNRT9W/UuGbgO6BxaMXVddIZt7Y1lhtmUXG6g8I/y l9f9hyPM3f7+qs+12fr5wUpVWMC7OfoL5aBFkfvUgGOmihoOKmO75ZMKLTR10ZdmClAwApsZptGp WEn7rS5u4ESHcz3KKfFQ8Vf9LiuP4MEv1X7WcLB/e8fTnOCOelc40aq60Rb0VJviLOb6UH3btIbC +FyIQvNKbRNEh4bhBPj3/nX7jE4O8AlP72+bnxv4x+bt/tOnT/8x0qYpV1Tscqq0Cj+YrZBAk128 OmU3xB7wC9ythmp3XYml8DZhVzzabQ+gLxYaAmw4Xyh/Zm/vyEVJhzFqsBqjoyEr519R+H21gGBn rMpRoSgTEXoaZ1LdM7U6Gi3bqkEBaaNqHGbqw8cfVPj+j7W39M1K6hqyw/tQ+oWpauoM71iBYLXt 7tARok/UALv4S4sm39Zv6yOUSe7RnO2pP27oditEYHP4PJr6T6jEBTFoBOR49cneRKxiqApittg4 4MV4cPD2ODioaNpru8+UJXlNsQVztS0DPa9VReCQCQ7hh55Fz1BVoypMR6oLGcrMgFBxQyag6RI0 Wl/kbNCbVjOSSifyV0VnyQBpERN6UR+I1t2Mr6q8cE7OSZ1p9UyNXYagU5DUZzROZwCYdKRudaAa m1TlYoJpxBsGBwWjxnE/KEyQLTPT4Uph8PZB3csA1H1zm9Mp441bxtdobLWecmFaLLGnAHuehBe1 ZFh3hsyyNkg8KklZ3CpbtplBR9u0ON7ufn35e7N7vSd1Aww6bl0zF0JKO7Iec4BoeRG4LDDzizPz OZFi4T0tUtq2BgyJwnAWPgvbv1rUPzGKN2FjDK0Qyvao5VLSaljJZhIv68K0fvY9pWXcaBvc4Tfi 0NEUiqILKNPl/EDU9TINeFmr71fO9cEUVSxOtG3XmFF4qqgwcNmyUnnLY9oAq83+DQ8KlGk4ljNf P1gJted1FjAWdQy2Ues6JPKhBtvtTgfVsM96yYAGuoYvLWEJQ5OgVD3nSFeAlM1FF9fmgLDoNMhN eV25b4KxVoJO7OaMsTdPHNpWc57feqI5COTQ3HIFOzEi4lNsH9gJ3nAi1SHNtw44gwQxjyr6YNZi LV43l7k8YFlI4wxNaEUYI/j8HATDsSjNLFj0mdtJGWoDHTigxujEdwCu7l7yJE/xNAhhqQREoFA0 hzuDwxYOqtBxqyW8izPy3lbNykwsccMdmDZtpdcXMIHQyRav5AXtUaHdLQCjCuQcVAiKoU6Ir1BQ //6ga4ZNnNBGY21zquMD0KW6fQvDKTXWxpB4RawU8TBO0KFLQeOI8mDXlD9PvSWDT3aUURt+m4bM VXo+0M9LhXV6HRe0fUUD0e9jhpcccIzS/CXOMGVpRTtn2L1NYpmCgE5ZQzQ1dRlunLWMRMIoe1lL gipu1A3Q1dSX5geoAMQCzoACD/SMypAdRN09GTsnTHfgirQ/g+2IIfrM8sKK9OXW/wDtguzTcLQB AA== --===============7930115295512376379==--