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 64DDFC2BBD4 for ; Fri, 18 Dec 2020 15:29:09 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 0C0A423B45 for ; Fri, 18 Dec 2020 15:29:09 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1727810AbgLRP3I (ORCPT ); Fri, 18 Dec 2020 10:29:08 -0500 Received: from mga01.intel.com ([192.55.52.88]:54539 "EHLO mga01.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726195AbgLRP3I (ORCPT ); Fri, 18 Dec 2020 10:29:08 -0500 IronPort-SDR: tzKXShu0kuFZmJXguJLbI7SmmIrSTVXitRBUQ9e9PtRyu7Q6ugwq1Exp6YJsQQGZfF7x70etGf NuYmNhfah1Cw== X-IronPort-AV: E=McAfee;i="6000,8403,9839"; a="193860054" X-IronPort-AV: E=Sophos;i="5.78,430,1599548400"; d="gz'50?scan'50,208,50";a="193860054" Received: from orsmga005.jf.intel.com ([10.7.209.41]) by fmsmga101.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 18 Dec 2020 07:28:27 -0800 IronPort-SDR: xZZ4/cP19Xj0eYL9pdLZJ+UPMy+w4A9GhFkeNHG2QnySV/pPBXBiwZsvYGxdt/vaZTKh31bdsE 7EIjnY7rnTtg== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.78,430,1599548400"; d="gz'50?scan'50,208,50";a="558617140" Received: from lkp-server02.sh.intel.com (HELO c4fb2a2464e8) ([10.239.97.151]) by orsmga005.jf.intel.com with ESMTP; 18 Dec 2020 07:28:25 -0800 Received: from kbuild by c4fb2a2464e8 with local (Exim 4.92) (envelope-from ) id 1kqHg8-0000Jm-F8; Fri, 18 Dec 2020 15:28:24 +0000 Date: Fri, 18 Dec 2020 23:27:46 +0800 From: kernel test robot To: Antoine Tenart , davem@davemloft.net, kuba@kernel.org Cc: kbuild-all@lists.01.org, clang-built-linux@googlegroups.com, Antoine Tenart , netdev@vger.kernel.org, pabeni@redhat.com Subject: Re: [PATCH net 1/4] net-sysfs: take the rtnl lock when storing xps_cpus Message-ID: <202012182344.1bEcUiOJ-lkp@intel.com> References: <20201217162521.1134496-2-atenart@kernel.org> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="zhXaljGHf11kAtnf" Content-Disposition: inline In-Reply-To: <20201217162521.1134496-2-atenart@kernel.org> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: netdev@vger.kernel.org --zhXaljGHf11kAtnf Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Antoine, I love your patch! Yet something to improve: [auto build test ERROR on net/master] url: https://github.com/0day-ci/linux/commits/Antoine-Tenart/net-sysfs-fix-race-conditions-in-the-xps-code/20201218-002852 base: https://git.kernel.org/pub/scm/linux/kernel/git/davem/net.git 3ae32c07815a24ae12de2e7838d9d429ba31e5e0 config: riscv-randconfig-r014-20201217 (attached as .config) compiler: clang version 12.0.0 (https://github.com/llvm/llvm-project cee1e7d14f4628d6174b33640d502bff3b54ae45) reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install riscv cross compiling tool for clang build # apt-get install binutils-riscv64-linux-gnu # https://github.com/0day-ci/linux/commit/f989c3dcbe4d9abd1c6c48b34f08c6c0cd9d44b3 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Antoine-Tenart/net-sysfs-fix-race-conditions-in-the-xps-code/20201218-002852 git checkout f989c3dcbe4d9abd1c6c48b34f08c6c0cd9d44b3 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=riscv If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot Note: the linux-review/Antoine-Tenart/net-sysfs-fix-race-conditions-in-the-xps-code/20201218-002852 HEAD 563d144b47845dea594b409ecf22914b9797cd1e builds fine. It only hurts bisectibility. All errors (new ones prefixed by >>): /tmp/ics932s401-422897.s: Assembler messages: >> /tmp/ics932s401-422897.s:260: Error: unrecognized opcode `zext.b a1,s11' /tmp/ics932s401-422897.s:362: Error: unrecognized opcode `zext.b a1,s11' /tmp/ics932s401-422897.s:518: Error: unrecognized opcode `zext.b a1,s11' /tmp/ics932s401-422897.s:637: Error: unrecognized opcode `zext.b a1,s11' /tmp/ics932s401-422897.s:774: Error: unrecognized opcode `zext.b a1,s11' /tmp/ics932s401-422897.s:893: Error: unrecognized opcode `zext.b a1,s11' /tmp/ics932s401-422897.s:1021: Error: unrecognized opcode `zext.b a1,s11' >> /tmp/ics932s401-422897.s:1180: Error: unrecognized opcode `zext.b a1,s2' clang-12: error: assembler command failed with exit code 1 (use -v to see invocation) --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --zhXaljGHf11kAtnf Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICCS+3F8AAy5jb25maWcAlDtbl9s2j+/fr9BJX9qHNpZ83z3zQEuUzVq3iJLtmRcdZ8ZJ vfWMZ21Pmvz7BUldSAmadHNO0xgAQRAAARCkfvnPLxZ5u52f97fj4/50+mF9PbwcLvvb4cn6 cjwd/tvyYiuKM4t6LPsDiIPjy9v3j5fj9fGbNf7DHvwxsNaHy8vhZLnnly/Hr28w9nh++c8v /3HjyGfLwnWLDU05i6Mio7vs7sPjaf/y1fp2uFyBzrKdPwSPX78eb//18SP8/Xy8XM6Xj6fT t+fi9XL+n8PjzXo8HOzD9MkefRlNnNnTxJ6OPg+Hk9HgaTxwPn/5Mvw8Hu0Po/FvH6pZl820 d4MKGHhdGNAxXrgBiZZ3PzRCAAaB14AkRT3cdgbwpybXGJsY4L4ivCA8LJZxFmvsTEQR51mS ZyieRQGLqIaKI56luZvFKW+gLP1UbON03UCyVUoJLCTyY/iryAgXSDDML9ZS2vhkXQ+3t9fG VIs0XtOoAEvxMNFYRywraLQpSAprZSHL7oYOcKnlCRMWULAuz6zj1Xo53wTjWjmxS4JKOx8+ YOCC5LpuFjkDhXISZBq9R32SB5kUBgGvYp5FJKR3H359Ob8cwBFq+fg937DE1UWrcVuSuavi U05zioiecxqwRSPYimwoKAFGkBy2AzCGNQSVUsEC1vXt8/XH9XZ4bpS6pBFNmSsNxFfxtmGn Y1j0J3UzoSIU7a5YYtrai0PCIhPGWYgRFStGUyH2vb6UyAOblQRA26B4QlJOTZgui0cX+dIX rveLdXh5ss5fWkvHBoVgJFbOmjZ8pTJd8IU1j/PUpcq8nWklBd3QKOOVtrPjM0QQTOEZc9fg wxSUrbFaPRQJ8Io95krJS3AUCwwDqVD/kGjEM1ZsuSpSymGykKaGLjqCNdySlNIwyYBrhLlb hd7EQR5lJL3XBS2R+jCpBzfJP2b769/WDea19iDD9ba/Xa394+P57eV2fPna0gwMKIjrxjAF kzGvnmLD0qyFFhZAFbPgHogUu5RzQZ6hRAlnJrxU0b+QWa4tdXOLYwaO7gvA6bLDz4LuwMJY COKKWB/eAkFs5JJH6XEIqgPKPYrBs5S4tBavXLG5knqLrtU/9IWw9QqiNvgUso5qO3B3RT21 KartwB//Ojy9nQ4X68thf3u7HK4SXE6PYFuJhkWZ7cx0QdxlGucJx7cFRFoIE2B9REoQzl0n MXAUOwSyFNXZKtlFwJf8UfYQWH0OcQZ83iUZ9VCilAbkHpl+Eaxh6EZGktQzs1hKQmCsQo2W RFKvWD7oARYACwA4hod5RfAQElwWr9hhYUKOiQ2+wcPI+P3AM03IRRxnRe0UjYniBAINe6CF H6cijsH/QhK5hmbbZBz+gW0GyFpZAJvFpUkmqzLhsJoIid/8UFuq+S3DOKTF1DDpkmYh+H5R JsR3bPoeha+yAxYYY852eqitYyI42RqPT/kShdPAB/2m2CwLAlnPz2VCb4TKoWjFOSVx31LZ MiKB7yFzyDX4msFlUpOAejhhMcqWxUUOC8bXRbwNA/FL/WLbMqThgqQp09PvWtDeh7wLKVRh 04ZKHYmdl7GN6TNFUw01RgAw7OEgJpguQB7qeVRThqyvhHcXda5vbO3ag1En+5VHj+Rw+XK+ PO9fHg8W/XZ4gVxCIPK5IptAMlaJsuTTsEdz07/kWIm8CRWzQmbMln+KyphkUFavsX0YkIWx i4J8gbtTEC96xoNR0yWtimCthBM4HyqGgHGIwrCv4tCcS8evSOpBZsHDLF/lvg+VYkJgIrAv lO0Q0jH/CkkiCbZFHolgy0gAEcgzN2zss6Dlw9XWEGFIpg2jnDKPKhXxZLTQ68SUcXfTqiql PGkEkRwq9SKEWtmevUdAdnfOyGBYhEUYe0aMDcMcEf0B6rnCC8nQaWTYEMn3bjivo1gJGU8a COg09n1Os7vB99lA/TGE9GGrwc6F4xdZBLS1xC0Bx5NFAQmKVQ5hONBOKzwj7lpVIzxPkliP 4woMhTnwX/Iuvi68wYaLFHIw+BikW4SA52EXutpSKJA1fskyE/IXAWyWAJSinQLXkOc1AVQ1 c3ZBvyc4+hutBB5D7cN8FXoaDwWoKF2xPQIoONF66X3WGVLBi7VjDwovW8hzJxSHaFgwJZJC Jqf9TcQI6/bj9aCHGGmbdDN0GCJSiZyMmJbghZsFsJm9QJ4PmwBSI0iE1TqAzkGrXB0dtTAO 3pys7rnwHGdphpkwwTZfDh7cqX3VLmCcFMaZyU9yVEemQvT4bNSkzYHMHgyws9VD4YwH+oQA GZqkLS44mztgU3uCLDtXqTgC6eGlLaCUcHEGVudXYeqr1sgKPdmI+fChGW5QKq84/wNlNiSO /dfDM+QNjU8TBkNcf31D5Vj/eHn+Z385WN7l+E0ltcoeLA23JKUixUNM0zW3jOMlOEhF0cmf 2eHrZW99qVg/Sdb6yaGHoEJ3hDLaS/vL41/HG+wZUO3vT4dXGNSjkT/zMCkgKdEAs2TddpFh axXH627IAb+Wx/iy7dWKlOKIA1FWaChO73uQHoPzBtAQ7SSg5uYyE5TdKn6HFCwpXaJwUSur SFx4edhhLKZv1v4+Fqm7GjIIAaLaeAcFThBkrcJdYfpULsWGlJ1R0WtsJRYd3jA0MPAzjdFc L9nDv0VDWBp1zfT2q0T3dCOwFChSH2wqD4oVkrbVA4Yr9ZBQF5KHFt9U+OTCSPJgIBSsd3xF Wl+AcLB1PKywGzqQ0GVN3xfoY3nEguy8pmkkTLjddas1kQT1KrLucS3dePP75/318GT9reLU 6+X85XgymjqCqGSP+LXEqrKLFq3yvI1Dg9J7Mhh6Fh33JMiXLELrt5/EgjrlwP4TRy6q7SZ5 6OChkH7QMl3bluLgC4WNOHF0UHlUgptqTh+j0GiS0fb+O0k4det2tqnnioBhW6FECo9KKefI uAolexQ/51DsHjpLV2V5yDgXu6ju3hQsFFWXpsU8gr0A++g+XMRBR7uiuUWFduN1bqSZhXBh bA/wyL57bpirqwzYiSyS+nbXLZct60A4fmZxCFEd0hbi1GHI4u2i2iX0++Hx7bb/fDrIGytL nttuRnpZsMgPMygCUpZgdWLNuSQUVbexvgaMdxsUHhTsItxFv6EM/vW26BNaSh0ens+XH1aI FRFVzlfngkY5AlBEUC6KHGfmMJ4EEKaSTMYZiKj8bi7/aAWJOIikVKgeP5yJYrIgnpcWWfvs FcVwKCrKAx84CAtlbwlc2a5JKPgUpEMZztehHmIpiVwCtVkDe0jiOGic5mGRe9qvoR8H2u8q +1OSBvcFA0UbK/dTcPVi08pfIIkQBJKV2WJY5knfJVbtIElGVSIhgW7OfotpTVPa7d57h2/H R6SkUwWEy8wOCEOdL3FdyE8d1jLwHh9L3lbcLbpylXNWNACNIIv26CYLE18LAxUE4gHkqVbm jzwS9F5syJnqQlXe8FX7t64hT+f9k6w+K+ttZSDXG1ZQL6Sk5qNK8Ta1qrm6q0Ioq5iJZr62 XLUvyGAqWszaxq4VtMjh7xSqNKMwKuF0k6Itc4UWvleOhc0YxnqlJ3GE30duRQGJe0GbnQAF qOH66nfBHLdNU2ztDkhE1O5Y/QbQC4kqrzywnu+3lgdIn0aQUWSFjhcSuD+qA9fb1XqSW0Hb A+GKwVRmRlQgpS90Fp1THSQiCEbPGpcMa0d6mVYZxr4+beyL3JX1xAbAiuArUqPOoIxJKGod L/40AN49JGVmCCDDraoIGphhklhUrODrG7CJygW6xOA+KX5DkpDU7PaUgILsZrPpfNJF2M5s 1IVGMWQVt9rG0QbKYP72+nq+3PQTpAFX6e14feyam9OIxykvAsaHwWbgeLrJiDd2xlA6JzFm AdiD4b3UTe3XzOXzocNHA83XwUGDmOepaJikGwY5ypgi8fh8NnAI2j1nPHDmg8FQm0FCnEED qVaQAWY8RhCLlT2dInA59Xyw08VZhe5kOHbQAOZxezLDURwyHiL+TnRddwX3fGq0cpJNQiKG Fi2O3pCjFMJNaF0181ZKlRio15wRwqXEBnRJ3HvNEgockt1kNh3ryy4x86G7m/TzY15WzOar hPJdhyml9mAwkjyrWssUvmx8fN9fLfZyvV3enmV7//oXxPon63bZv1wFnQVHnIP1BL56fBX/ NLsi/+/RmJuX0VlyJqcbnJMsP1kSrd1y/udFZB/r+Syub61fL4f/fTteDjC34/7W7B0iTvZE JOFEK52ou4qNIkXfd6rP6nJWQjTbVpICUhT+OgtsgHr88vL6dutlxSL1uKm5yxIAcAsP3WsS 6fsiqAWtM5HCias3SKa9Y9UTlrVIiM8mJiRQoe5KjJQ8vx4uJ/EG4Shudr7sjaBUDorFqYhq NwwmvEg4yXe9WDh2UBoVuzt70Nww4DT3d9PJzCT5M75HpqYbAXxuAyEtVutSFukrMNWANb1f xCQ1DsUVDGIu/mZKI0jG49kMsUKLZN4I2mCy9cJD4J8ye6DHTgMxxRGOPcEQol27Fl29yWyM oIO1kOBHB75MoBZ6RtYrENL1KFY/1GSZSyYje4KyANxsZM/e16vy0femCMLZ0BliawLEEENA qJ0Ox3NUqNDFdmGDTlLbsRGeEd1m+oO1GhEnkGqhNubIIE5CnkdLBLOEk53P+Kq6/MVE5Vm8 JVu0qmlo8kgZtjucfeITB7/Ob4SH2IClssaGoVNkce6uAIIsY1c6dpezSxLb3v1k+oWL5e/G GNm6SESl2I5rIpCYzSPR1Uy4g3BTOCiC1CnWgLr3JCENdwWkAYnKZNWaoMKI/3p6ZwYZD6F+ 7xVpw3e7HSHdacTW618IFM9JBhVfW8Q6gHJx7YM/qpAk8nISb+2UBMLeKka/Q9XT/0lDNpJn Re2EJUDm2UxAQDstiA8l5482RJou1q2tMLaNv05SSLxgVMghdoNWokZtAYakO/V43GlArPaX J1nFsI+xJeoBo9hvLUACxMkCNg92kSvRAVuAQ3eHpWSLF8MSWxZH+FYo5+VOaD6gUCNTt0An JMmixa5FoFJFD0kuabD3fSSUPTitv1VCiohDHtV9u8YEI3OSslLDtF8/18WKNVXUQxm7f4Q6 SDuf1VNm2X3vkkkgOyL45pbvtGiqix8k8h173PPuNkl6yjuIffUr4mcDmogGqEcy7QZHwcUB R+UUFMOztPUOViJhfibfI4PgfqunodNx1pKDc+a3QPKVuRcv2xLHW5rGvkm96MxsnAq35Wse /FxI4azdi1r34TIX/mvfSTcHx+C+ZdXmHW/HW+pAIYUssjTnmXzUWDfyVG0KyaJ7SNDDocgV MuOJzxcM4wBCXb/hgVig5YMm1H0AG+a7qkQO3043OJ4dvsMKhEjuX8dX7IwrhpF0oXY1cIcK MFqiHqH4VyVkB6rmboGDzB0NB5MuInHJfDyy+xDfjVRXoVjkZil2i15RpHRpcvSoNhDjGQY7 Nwk81AXeVaHJSnVk5dPfHvFkcVCfX4AbOX09X463v56vhptASF/G4hLiuQ1MXL+9AgUmqPSt Oep56+Ap2omNQzS+K99xW59Fs1GdrKxfn8/X2+mHdXj+fHh6OjxZH0uq388vvz+CVn4zl+CK PmbXTzwqXo/KJrmsGFqL0dA8IJs+H9TIRFgUr4XNaWhIN06beU+RJVBrGib6vYuAxVWJbzAB Vddz9jBL18NdexhnYUax4kkgVfeqcgz6HSLOy/4kLPERXAaMsH/av8ow1DnmConKdmc5PL79 pXy1HKsZUW/x9LqB4bBZvjCVIq3SjlcSWPaneqOWIhI9ZtFr7jWsuChwW2/qG4xw9t4ZFElf MNdjsjZuiJf1PMEvozgkNvyhFsdewyWJ+cg3QXv7JTbKEkHRKTQF7PF0VH24dlYRLN2Aieun tXx9rXuehiy9BJexIpL79Ucza/mt5PnSiRJJloBM58e/2wj6Ii99k9U9VLPy25eIZuLDPXHH Kt+S8IyEibiGvZ1BjIMF/goO/nQU9yXg9ZLr9Q/dV7uT1bKXUb3zXKpEFOojD623z6JQb2Vp 9CIV+HnUfmooOMG/8CkMhPK/jkiVKB6ZDyZOs50qeOgmzpAPZmaB0MYaZi1x4rVDX4FZkWSh j5/IK4p0PRuMMbco8bFLg7hulKfgEdf91Xo9vjzeLicssvSRdFYmKibS1ZPLR9NgOO5BzLU3 yMJdjQ8YS0DhE55BBbUqv+Yc205FEfuVk7eGsPST+RGismZJ3BxLRIkkv/VAlaoqKLw4k7jO G1QJld2rQVO3qdv25/3rKyRambY6kV+Om452O3W3+WzA1ZHQOE5JwUDjEVrqS7S3hXNfi5Of if8N7EFL4noTVOm3hU7N1C+Bq2DrtUBBvGTupqOOxWzCp7sWLSchGXsOuEO8yNu46tV0y0zw s0VZ5lqTkoRe4bsr5MUDZoO6TJLQw/dXiHKtrzAU127/uE0Q4R+IKR1ui1ZV2nWZQWt1Euq0 NSfrabMm0eHC9/umkSSyLd0e6s/GU6yJK9FZwlxnZg/0aypEY8rbfa+rSUNNKXuII9JaVLtk U/6UDOejYQc4mw7bOhHA8WTcWZiKSv1WERqeTsZYP6lcOQfsbNJhLBGOjV0nNPi57bTk3Iaz +dy47kP0ZapruYQzEDGeBCnRY1e8a6v5y3cS0gT27/8cyzIw3F/bnxRtbVg1h4hSeNwZzbA2 k05ib0N9jgphBoQGzpdMXx0iii4iP+2/HdrSlaXliqIleU0gPhcwJFBgsajBuA9hJN4WqhAv scUD2vdmFaT2sI/9pAfh9IyY9Uo6HPQh7N4lDIc/k3zYu/7xANv9OsV01iPSdGb3rI7Km20U Y08RNyndQatqRM9JPhtBS12JFY8wA/Pjcw3eLdArIo8owm4pSDy3WJAM3Fm7MZFPmloDROtm KZoEkBoGE00L5eiCuNlsPhobubvCuVtnYGOlWkUgVDsZYEOVNX4ydIbII+FOF84X2uVXtSoD GJKIdIDV8MUnZ7rbaWm4hWjfdLTRKw/LWG0qLytysBoYoog2YdcKUJHb+l1svegeOMR+ezoY 9WMQRUmMY++62gLMbK6/uKkQIjU50y7cjKANG6lnhE02nIxt41l/tW5afsAghBtNxhM03Wly djJehwhUPrLH+EnDoJljXqhTOGNk6QIxHRrZWkON/8XM49n8pysYz9E9Urt3uBiOpl0TL4n4 PiPIXGc+sjGvrW5+3+GdZrDrx92F5y63BwMH0Yg3n8/HWrRcbUO92JU/iw0zrmoVsGyyrMzX 9uqR2/4GNW73tFG/5PKmI3ukszQweK3bkIT2wLERLZgUmhpMxASfWKDmP+NqZkEdZU+n7w+e OyPsUZuXTXd2D2LUj/g/xq6sSW4cR/+VjHnY6Y3YiNZ9PMyDUlJmqkuXJWamyi+KGnfZXTE+ OuzyRnt//QKkDpIC5X7wkfhAEqR4gCQAGuQAKKAv8CQO0riOAz6Za++GVIde8TQMZNOHBRgK 2EPX3IWpk63V15RtnmdkmWxo9z5xCn8lBZrKd80236wPKItDNAh0yIY7hTaoRKfdfoc8kXOi D91WJt8Nfep2b+Y49yklQZXabhi5ujmRnrj07aivqAwAcqyePjhdeGBdpzclEsde9xGb+aTe tu2luAS2a1GSFccqMdypSSxtTimCCwNu/KepaZuaReFu9r+lnukaWjCAftXZjkNP7astYp0n 5IXWwsEnb2LiEUBoBNRDOwWMiY6Md2G2T4w4BBybHMUccvY+LucwSO85gUEOJyDkQI0gsAIi L47YsQEIInJsABTvza7A4Noh3fvQejZwaJMPhceNf87j7bUf56AMmjkQhwbpQHJSm1lnhta1 qOmVpYG8ci/8eX1y7GOV6mv5wtCFMFW4ZCepAmovt8KhS/SCKqQ6TRVS/b0KI4oaUb2rigxC Rv7+QK1+Mh+UlUGLkxh2R0oVk+0Q+45LfBEOeNRw5QDReG0ahS414hDwHKJha5aKo4sCY0kR eMpgdJHtiVAYUjtCiQP2fQ6ZuE2r0GCttwp9ivyYHoKtwdJtSXuv6AWnvzCbaDkg00s8AO5f OwUBnhKfKKtymFnIsZvDmu1Ze+MFOBzbIroKAAFuwwn5qz71wmoHiR0TdnRjomf0jPWhT7dJ VcGMtasuprYTZZFNDNok62FPT07YCVQv2lXRizpxLGIVQPowkHTXoSfBkBhx7FKl1EzMqta2 iPbjdOI7cTpZRUA8a6+GyEAKXLW+TY7DG7Mdg23izHKP3DB091VQ5Ils2jxw5YjtbCsbBxwT QLQPp5PqhkBw6OqGNhRrGUY+25sGBE/ALaKpDAInvJz20wNLfpGsyPhsmSgu6BOJ+7wWaA1L iTQz5TyqVJ0+LhZqIvrPWPX/srZ5NpR4M3jvChH5h3WFfM8843P81nNzA+HydrwXqh0zxXjC DRJ3RqTt2YgkIg5HSxvyzQnUvLfC6kIS8BGjBB+VYMIyvIqheofeTl3+ZubcrVReXTEKSFPv 1EO98RT36kuvWK9PpMPZFVzPsiejRarv9UeMydcXSkgqoErjCFj6rGgwLi/Nu8AqdfJuVS+h j2mVyLmsJ0ipGpFxNet7//0zj9U0m7lujmyqU6YZZSNFOl+WqazKy/FU5kPaKHvUFbyUKbnB RQ6Q0o+tYdBTHrPYD+3qfiO/OM97aB1r0I3rJQbdSGClbez1sb5oIUAekS8oNyzYJjIopgtO Kvor6qgS6qYeC83d0JSDZqSdE5ajvcx84CBXPLXdQV5kJSLVHFXrBA69OUL4UsC2yObuFkTl QKsa26QvUk1m4WOi0pa7WCX/KGphe0Dr6ytubnh+Ou2Tp3MTzM+ltebgVPX+daXH7l5pUWwZ C2OBotbPNFlv47R5D6eSu5xddYlAufahR5gl6phvkTd0HHyIVP2GE2ufBYZTWMT7wguDYRMg VOUpnUg3h5XhyrdstbdzkjajcfrDYwQfUBoHyXHwLYuYliZTDYXGClBHXdcfRtanMImrLarf 9E8pykppZ7xUty2fOqASF/XyOa2ghFrfpi70F7pjmzoMyqLZHUhkXz5hkXKLCKpiEyBTqSF/ L20ndE0hYHnDVa7vupvavKmGiPJI5rP0ZIDxgyCqB2DLjOh4Kve98lF/39BsS5+OucEDfQqw wJQRxQJ6et0IGzjZutu0ks4Zd/kZVRI1EthCNF4XrxynYsgzjHrOkrNi8byyYDCwK2g2APTX ioxWsjKjkiXiG83sSmiLiQtm13MUDHR5qAZE5AZS5VFVBQnLfDeO6LxnbWA3c32F1BCXzhow 2JaTfUNjMniKrd8kqX3X9/dbgDNF8gnXiqnT3Uov+jJ2ZSMNBYKtjE02KIzKwDV8LJzqQmrH qrGQzckvkwcT4hoRn6wCYTUlgSx1/YjWN1SuIKSvnFcuXPt9ckJSeDQFQMGiwItpQTkY/Kwf cYXAp04TdRGiwCBCOB2+GTCHTjcpdJN/BImHkWGEIBjFBldIiau1oeF+UrfWF27eBBJFfmxC ArJPVe2bMHbobwV6lG2bEMdUU8B8aiFQWVR7GBUjryZWFrR99HxD+vZ0fZvTAV4lphvMHgFZ aQ7RUwuHYhq6V7Q4XdK3x7zrHttCduaFzRs+B7Er5EaTlCDmReRZmcxS3ejPulX/JKw8+xjX lsQgmRUktEQARo63v7ZwnrCmMwDlybehV+3mgBqWY+w6QiN0KM1cZwrJsSCplDRmu2SrSUqi SazY5Aa9qhrGY72VR+hRNFO6s33IsyIZ0zyd4xxSahrnmeNhfyLJayhXDT1m3Y072PV5maeL U0L1/PvL06y+YXBmxUB0kiqpeAiZrWAaY1InZQObgdvf4M2Kc8EwKiDJrLB2SYYm6Xog8qlm WWeCZgN7CdeE4HaGpKyLKfumeeYybkWWN6MSamVqLmH5Ua4+rbeX35+/ePx5tG24RpHPzSul frvS+B7hB0HHL5rDF22VQICCIcluRt1acAi9uipqPv/VZzlcKs++yisHo0Uq9ePIqUz6C8bn wXfP+l5H7xho8l+SuSlVeanrvfvy+fXrl4/4AI0c/Flpf4JH7rzL8Z2Imzh5Xb5/wbBJz78f nr4dRHh2/P/r4Z8nDhw+yYn/Kfd60d+SLGkZ/dgOb8Pj9eRoisZKJz4np2OQ6banEIyThz2n OJP5Vfx9BaWx1/4tDkb7bUcwe61MHWW2RVKoiiuyIC1ulgQVdq2F0w1qID2FgbXmnjix3JhW uaUDLnVTZVz6J3eGLzVneJwV9ObZG+Cye4ogPX1+9/Lx49PXH8TxsJjsGEu434uI0fX995cv MFG8+4JeBf+DkZDfPX/7hu5/6Mj36eUvJQtRCXbDx+IavVlZloSe62ybE4A48mjle+LIMcCQ TztmSiwOpXxNLdu3rierF1NX6l3XirZU35Xv8ldq6TrJpmLlzXWspEgd96hj1yyxXW8zB8Jy GqoWeivdpSwXpymydcK+ajc9tm/qx/HITqPAlm7w9z6fcOPL+oVR/6B9kgR+FMk5K+zramDM AuZutMvTBRdklyJ70aaaSA4sb9tsE4CKhnlSAJ7II7rfBOwmPrLIjrdJgWwwlV7wgNqxCvSh t2zZ/mPqqGUUQG2CDQBfIbTtTRMK8kAMK9x7w4gzls9urW97m1bmZH9TDpBDxe54It+diPok 7B7HFn2SLTHsNR4y2OYBfWsH13E2YsI+Ona4Ii31SuzsT8pYILp4aIebtkgHx488xWlN6+dS Kc+fd/LefmhOjjazDB8SIT1SQpLb9Vy6V7ux+eMnWexG8ZFI+BBFNrWdmr7KpY8ci2iRpfZS i7x8ghnnf0V4aIwIsWmaa5sFnuXamzlVANOZhlLONs91pfpVsLz7Ajwwz+ERLlksTmih71z6 zWRpzEFEj8y6w+v3z6Bmadniwgw9z7GnSX0OHqnxL8Fgn2EN/vz85fu3wx/PH//c5re0deha m9mx8p0w3nQQ7eh/qiiG6GqLzHJoNcEsiqhvW+gCrnXTMVWPwPd1unkUpt+/vX759PJ/zwd2 Ew2y0Ts4PwbFaEtJ9ZQxUBPsyFFu91Q0cuI9ULnG2eQb2kY0jqLQAOaJHwamlBw0pKyYYw0G gRBTTxo2qOGKUGVzAnp61dhslz4al9kwFCU5F8tMQ+pYTkTXaUh95XBHxTwjVg0lJPR7Y2tw PDTvsie21PP6SB5KCoojV7l/23QP21CvU2pZtqEDcMwxSc5R8i53W7hDF5Cb2+2UwsJlatMo 6voAkm5OW6ZCr0lsWYZKwabI9g2dumCx7Ro6dQerBtv5iq5ld7TThtIPKzuzoeFI4+0N49HS 4iKT85C6Z9pukMTbAl+f/vzj5R0RbiWTIw3BDz7hjlmvHGAgPWvH5DrsxOriTNwTq8/LEx7i qBk/VP0UUmpLPx1nSC9VxOFvYQOEQR3bpmzOj2OXn8io/JDgxA9gFqMrKfzFAmKgdbFxt9fH +1a4zJMH8X5GrzzYgRwYFW2E75StTxpsm4nWxBE8w94YLaOWumrNYMIwXX/BnfWCLjEbJsXl 8OXrdq2TshBx1kAFpifVmaUvSjugD0pnlnpo+bISR7St9YZP97SUwieYhBc6UVdto87zpmrw gT1F+ZFYZc7bOde69w3aWR7HSOvSpBuz+3jJDLGQFqbyRgbARrxNxINO4rjr5dufH59+HFrQ TT5q0nPGMUFZ8q6HXiprDBJDf+3HtzDLjazyW3+smev7caDLLpiPTT5eCrzgA92KfCxBYWU3 WA/v12qsy4AqG6tJFyQ0nN0C8rLIkvEhc31mq3YZK88pL4aiHh9AjLGonGOia3hUikc01Tw9 WqHleFnhBIlr7Ve1KAuWP+A/oAPZKS1KUddNifH0rDB+q4ed23D/lhVjyUCEKrd8+h3DlRkf ScuKvkVT3IfMisNMjgYgNXeeZChoyR4g04tre8H9J3xQ9iWDtTWm+OrmliAf7zK2RddbYoLd upPs1qRKalZgYMHkZPnhPZc9vlaupiyqfBjLNMP/1lf4xA1deNMVPfpsX8aGoUldvF9802f4 B3oLA70gHH2X9ZQA8HfSNxgk9HYbbOtkuV4tqxgrp+F6kWZ9zAoYK10VhHZMVlximXaXW5am PjZjd4Suk7kkxxRoe+yDzA4yw1dbmXL3klBqBMkbuL9Zg2UYjApfRR9kktxRlFgj/PR8Jz+R 16p0siT5We2aE2S4P7j6vHhoRs+93072mWxP0FTasXwDvaaz+8GyDWUKtt5yw1uY3X9WjZnb c5ld5hbZHfoC31GE8dKzMPw7LC7JgqeiSTp4jpc8tLTwLMPzW+hT9/7i/uzLse5aPk7rSDje 3wzn/VF3K/BxvGbAbh07cUyLAIO8zeGbDW1r+X7qhPReXVsR5dKOXZGdc1XjmdaqGVEW1WJ+ 9+Fw/Pry+wddO0izuucKrNKm6QXam0GeqAS5WoPPkzSQavH2mFbVEu+AYICXLA4Mplhbtutg 0gNxfYXCsjxV5ajw2ZVL0aKrVNYOaDRzzsdj5Fs3dzzddanqe7mo60aZUA1rWe16Bvsg0dpd kmHw+Sgg/XI1Hk+bv0BphD9FJFzdlZyBHFuGCP4z7rhU+H6BorYxdwOlTHbBhwnZJQ1caE18 qEMvmjX9pTgm00Ey6UxOsGkLtIaGu2i0h6r3JRyHpefUegb7v4mjrwMfPi9pOTZn0ma201v2 pgBx8w+TTFIPgetRtoE6WxjJxzoKmm3mICVh4Jjy50F9s1vo25spWIJ2tk18RFeXrI18L5DV fvOMoNSgS9vzVRtpQ69OOEA4HVWefBC2G2iKArvZnpqhQJHJa8a3muOba9E9aHoJRmIUsbXn Wez09enT8+Hf39+/h91Opm9vYCM8P1v9Q6LVDStOjzJpLWZ5pA/3pUqqFP6cirLEV5IlfgGk TfsIqZINANuIc34sCzVJD/thMi8EyLwQkPNaPjxK1XR5ca7HvM6KhPKMmktU7uVPGGv9BFpb no2ysSrQMWhZyZ+wVwvC99inTTO1cQMO3H+hhEwEld9+oz/moMJyaNA1/fJ2iqEWdqb5uCCR +xzIlOIIu/yBeb6sPQJ9jrSjVWsyr6aLrHLULWCPrJYJ+rNrKTHHyK4o3vd7evefjy8f/ng9 /NcB1PntO1GLMKjsc5OTKQw+IdLybRTGVbgVf2CZ47sUshj5bxDNgnAF3qRNNd7pt39WriRD C0+LyplDIQlx62YrMUIxicD85Q8UIlkWEhUxhPmWMr75jhWWLZ38mAW2RfsfSHXt0iGtqZEo FTMFyJlfbtzvI3N6fpMjD8N13OJ5y/oLlhIlMi3+Hvk2EkZxTbWAxHE7J3ag5jUhaXllDvfe WF+21E9DJROV5lpvn2a9FNn25PRSSDY68GMNJcc6UIjZRa4M4KZHT66YO+GuBjnOwXWne6j+ z+d3L08fuTjEZIQpEg931YbskrS7qm8WzsTxRPkEc7gVN1pqmitM9tTsw5shLx+KWm2a9IJ7 bZ1WwC+d2FzPSafSqiRNyvJRFyLlB+YGIdJH8Tq3khF8gnNT49GDqofMVHMr5HhGfVJzQ4vN ptJob8UbU4qg57w6Fh39UjnHT2SYTw6VoGA0117P8lbckjKjArQjCjLwMw091cMjbeaK2D0p WUMH7xUF5nd+smKuxWO3cXNWGAq0ezNIXLBcbcjfkmOXqCR2L+pLonWsh7zGoOFMDceESJly Z3hDgaUa7EuQ6uZGTTMcBD0XR5Za+kzFH60UiHahn07ajFZ01+pY5m2SOXRvQ55z7FkiqUS8 X/K87BWyGBznIhWPiWn1qeCLdqTbuUAfuc2oWiHQrPho2ORVpF3TNyfqopLjuLfucm0w4xNN xdwTJTpskvUCQNHOqaiziIGmje7uMBSkCVciaq3Mk+QsKR9ret/JGWDuwUXLUGKZ1Px8Jt2M vLbDY3Zjvn1SaBXRYH7AZSiW233iG4hqc/UsT6oNCToDrA35RkDIvy31JyPkT2x67wHHMJ6B Jn1Bn4Lz3KukY781j3oR8jgtbo02ckGLVyxaORE28OdKp+H7QyKOslwvmW6epK+4xI5t76qZ 3ouiavT5ZSjqqtGb7m3eNbtt9/Yxg+XSOKZEiI/xIr8xItFTqAOopOKXypGUrWLMQ63062M3 ijayCMif7CnoV382yZZXxyTiLNC1h13NJS1G3BWV+bRJk4cYcuz4B8jO4u296/M3sIASxI25 TJWO072xMDWq0l/77FeMO3G4fPn2ekhXk/Nsq/9gcpOBPWJ9BpWSv/lChAHPTtQajBzUFowX RatzCF0h1yLompK0OQGG9A0hyqWnYgAjUrEHhRnUEf2BxAmq8zt/pVdaO3I8a+ROAQRNOA4o i9SK8fkb5smGWkU537HDnUENmha+dJZe0Gkhm3fRuPUi1FSeMEmY7RhCnwmG2rUcn7wXEnjv Boovr6BiKCvlmkOImVaB61C+dSusvtbH6XzTSX3CFXXoRJRhzIwGsj31QoydgcoqsGx6seEM wp3QVJZ4DWEr4UQ37Ss5j+oNLKTBAAXeVkggk06lE+prcVRmss89QquKnE0nJnVnvgov76Jl KiU2QoG7SXCvNL7VK17lPGaO4vMqRGOuH7ubYTN5spoqhA8N+1ao5cXK1I/tQZdw6wy8dC// L513G6SD0/E8JYh14YvetU+la8d6kRMgwp5pQ/jw/svXw78/vnz+zy/2fx9gATh05+NhOl35 jq82UIvW4Zd1qZfeUxMNi5pOpYmwxM3QGrYc4PuY2hXjB+iNyiNnTB2MGm76V0CiIwdwE+Kc K9fm1x1Lc7CvLx8+KBagokCYCc/K6YZMHsVLVjTWwPx5adhmkMz4JQed65gbHlBUWJfDGmMX nBjT9mqQJklBgSvYo96gE6zGbFegOXwX/368vV7+fMXHs74dXkWjrX2lfn4VrmDoRvb+5cPh F2zb16evH55f9Y6ytGGXwGZPPAtKV1/4RP6s7i0+I2rMo+WnOPQ2Vm0o9BIi2ZI0zTH0Fdqf UK7KOWiRW/fIjqWj8vgTErSFG0mXlDUwTEjifLb6j6+v76x/yAwAMlDq1FQT0ZyKq1Nqmvom rOKE2w1LDy/z5Ys0JJCxqNlJvCylZsDp6MFIUsdrkXPzPRVGP1muGkqWb1j4xg1sZk6OR/9t 3qu+9guWN28pN6WVYYgs2dN5omf9coROImMKvfPake7pEqM8zUj0QAl4MdEvj1Xky2G2ZgBD +caKw/kK6CEcJmR2jNfJvZ+6VNlFX9qO5kqvQORlscby/5RdW3PjOK5+P7/CNU+7VdM7sizf HuaBlmRbHclSJNlx8qJyJ+5u1yZ2ju3UTvbXH4LUBRAh95yXThuAKIoXEATBD0w9tpI+NMkK nNVme0yxuuLGidDg7wix0MJEYsK1uNPPJxZXPc0pHjxO71ZCs/uBfWeWmklzcYqPEirGXC49 A6Z/Uzk2+zx9iDOeYHmbaW4/khY2O5jTjeSwSBRIgBqWDWcyYYFo68/15DyZ1B7tJOiexupw eAVukQDLw22oX05/L5OGMTOkNb3EozY0jOx6m1x1Ii0ydZkCNacuUOeSfN1dpbn01qoipzRs HhKmEYBDc6OeQB+yEwXUyATATqMg/IUaGjs2V7LtWJx6aoH91d2Z3/XHuWB1RORM8pufBwID ZmQCncCxVPQsGtkO0wmze2diMV+TJkPXYqYE9Bkzg54eV/dRUvXi6fhFWkm3h1l5lZsAaVXT N5f/42+d1N/Thj+sGS0gvvp7xgOrznEGZna2P16kXX6zjrX/AkeqA+QkrPlmclbJmq3nJiJC 9rhyIQKAfGz2oOhc3IYqpojijd9EL+D3A7e6KMDGVGsRafxiGFpMVeaLskWagBBa+eopsd6W IV40Z1LoooCJpec444lV7RmwR1lzmEoG0QKSjgQBnIMjl17eH93R2GfJt7nPLNPY1uHjNVnH s+pMyFaLnMaqI4ZN8ZqhHTByO5hlfHqI8qPl3quIqdccc3jjF0kopxErpOrBvBgCFgoGNSDN A+KG1RTY0K65UrxEEDwFhVbbFi6vKT6fT5fT92tv+fm+P3/Z9H587C9X4jitrxHeFq3evkj9 R8h3jsd/LhYB68/nZl1FK5IgYU/CIDecG96hQRreqSspcQyJDj/bgnIk+HKMoFghPXhbhdQ0 xjakzKmDb/QiXst0RJwsGA5wRoEWi8K9U2afi/ujIo7TVTIOzEAc13P9scV/IPCm9rCjQm5m W4DlmdyuVIKzQSL6xu0quIR1iVhvGwjoOLpZkGfFQ5qEch6HK3uyTFwyEIycsA2tmK+HjiVH g4viKZYP0lpahbF7V61orko5nZ0+zhy+snJRSLWAgLAVRWqbGX1rlroashoR5f6t7eRQh4YQ zirHez5yZlhRs1WpHxRBOItRMr0aNCRaojg+nRS4iIho+SzZLKb7t9N1D+gRrDXmw/GQ/MrW 2Xad/dl4WBf6/nb5way6SZShcHT1U4ciLejJXpsDhDYX6ceqNuStrbiVh4DiWGmTWX7XP7LP y3X/1ouPPffn4f2fvQu46r4fntExir5y9fZ6+iHJ2cnlMmFzbP2cLHD/0vmYydVRZufT7uX5 9Nb1HMvXad22yR/z835/ed697nv3p3Nw31XIr0S1o+pf0barAIOnmPcfu1dZtc66s3zUX3re hmxul9iVU6kavNvD6+H4l/GaUrYC6nHX7OBlHm6evbP7lnK45iH78N8bOfUcjSpY/DpeX//s LU5S8HjCs6QC0FcA/TrIO155fiS3e8jWQ0KJn4ICECscOEgEINgjExsWp79C8u/KJ0AKElkG avaNfoTXnujN9xb+RjslS46/zd1mM+j/dX0+HcvwSrMYLaww/b8KF+mHkjHPhFyULYNOTzpK IuRwGgyHBj3JVxQTpaSn+WQ6HgiDnkXDIT7zKMlw7NvOH9+w5KCV/w46UpcBxhbrGAuwPxmS q0kDfo6XkYZWuDNOFDYFXXR/tYBYao4LB5YV3DDh382DuZKi5NLvK5fysoaEq/87z9hn6MdU b81gVNciNhaR+6o6SrY54NeM8gG+KVEt9agsh7F4ft6/7s+nt/2VDD/hbUOCFVUSKAq2ImIP YUmgUrNI9Kl/TFKcDrz8mdz8Di3lKuf2C56w8aD3BAFUlR2betjI0wR6QwlI7PYbhWSo1xcD j/aa3FOUDLENsg4eeKcqfqNSt5nH4wXfbd2vcN2VhUxwBzZNGRdFYuwMh115JCR3RMD7IzEh wKSSMB0O+y0kvJLaJmBYCQVmMSSEkT2keXXyu8mgA5UTeDPRceG7NQb1uDzupEnRu556L4cf h+vuFc6DpIZsj9KxNe2nZJiO7SnZWkjKyBoVwRxwxOGyUhiyI0vKTadb+mSgEoS2El42prwL yK79joSYOuWF1IsE0d9fbfwwTvw6NTFyDmzHeCzrPFMFeRrSLToY0kURJqQbFKkLV15s+12O cNjlte6w1cMwGTi2ifgBt4Q18nBnE63EGpChOWPGU2tbFHv16XoT1qXa3Jr0uXZVzKxv4dRq TQYF3VyNI2A+6nfXrjSStga/Gpi3BiEepvPz6Xjt+ccXYoOBWkj9zBWhf6t49HBpa7+/SkuK DPRl5Do2wWBCUvqdP/dvB2nKlq4/UhGRh0IuKstSu3GDX0n4T7ERhTaL/BHWuPp3G5bJdbNJ x/3HQNx34uhmrjewunI4QE2CFC5QZYsEH3hkSYZ/bp4mUwIPaDSFdoseXiq3qOyYnitt8NOR RO1Xyl+vxTRAoMWuFmf0Vr58vEREWZMszm6C97Okeq6uU2NqG8zWmkML5Hmlsi/vyuqBfAX0 ODX8iF5Fum9odeB9QEoE1ukpGY4zohp0OJwO0q5iRtNReyVrlukkzqUO7WBmjmNzTqJoZA/w 8Y5UasP+mP6e0OyLUrs5Y/aOotQqsgLDIVa4WqFIMu76m42qj6XliHj5eHur4HeacQd95a2j 6FHaZQsMNKA6UW+BFL+boy064n80RLRpyseAtutWXnXb/+/H/vj82cs+j9ef+8vhvxC343nZ H0kYVn4B7a5Z7I/78+56Ov/hHS7X8+HbB7jZ8Ti+KafPxn7uLvsvoRTbv/TC0+m99w/5nn/2 vtf1uKB64LL/v082t9xufiGZLj8+z6fL8+l9L5uuUq+1Qlz0yT0x9ZtOyPlWZDakt2dpVBZp msVjGhMjNErWA4tAxWkCO/3106ylqlisoRrkC7lT4+207sbQCna/e73+ROtPRT1fe+nuuu9F p+Ph2l6a5r7jWOxUlntWq29R81fTeCQB9k2IiSunq/bxdng5XD/NPhWRPWhdm17mHevb0gMz kEOWlBybnMiTWPAo8Eg01TLPSPpQ/bu90C7zdVem6GBsWWymVMmwCbKl8eFaR8nJeYU4vbf9 7vJx1lCUH7IhyWAPWoM9aAZ7XZX5Ns4msjYd25S7aDsiKjhYbYrAjSCDd9czICIH+0gNduIZ wAxajXKwh1k08jI+L9KNb9aBfeoeozk+vK+yJwf91kZjvZVjk10ZAQeOjGRJAXBlTjbxsukA B/AoyhQ3u8jGAxtvFmbL/hjrBfhNt9xuJJ+YcOY9cPCaKX/rXCTN75E1bJU1Gg25shaJLRIC p6sp8lMtC/tNILee3DmFSDfVpkwW2lOLJn+gPDYGRbH6OKAF7+fDjKUnaUy2fF8z0be7Mksk qTW8mTK4fRk5zNMhhZcJN3IcOGzSVqnbnBL4EOs7oHEhaatY9En6pTjJBxZ9WyI/xraAyqqF fguGCygsGITcvQ8GWJHJWbXeBBlu7JrUnoW5mw2cPm9KKl4bGKbVqLnsVz4wS3FwQBYQxtgd JQnOcIDmyTob9ic2ueK3cVehwyN2aRaORNn4UTiyqE9G08ZsAeGIoIM/yU6y7bKTShVEVYw+ o979OO6v2h/CKJ+7yRRHCqrfZH6KO2s6ZbfypXctEgtkaSJiK8mdWAz6HQsYSPt5HPlw9YrY KJE7GNoYCqbUw6p83h6pXt1mV2MAcmVPcBLEFqM95ip2GslhaywpzQE/187/U2eefX/d/9Xa Fqlt3PpGjr3qmXJFfX49HLv6EW8pV3BQyjQmktF+3yKNNaoIHkLse1QNqqD03pfe5bo7vsjN yXFPNx8qI0O6TnK0qcW9A4G63H6XL7pcNY/SFtPw5McfH6/y/++ny0HlHjSaQS0FDiQFprPi 10UQC/39dJVr94FxZA/tMfFdeVl/0gHhDttDh02ZBLtEi6DlSgJRLXkSWjpzu2Ewt+rG1lu2 ITa0wiiZ9i0KSM4/ondPgOot7RdGW8wSa2RFCzzdE5t6dOA3nfleuJQ6DQ1EL8kG1IIhq6if sbc+E4xgFrhJvzTo691L2MduPP27pYOScECFsuGIGl6a0uUTl8wBiWYtdY5R6WZVGjpsqOoy sa0RqtpTIqThNDIItTaqNqjtzmlMy+Ph+AP1GV0UCLPs5tNfhzew3GFivBxg4j0zna5sIQIl A9ibKVzc9IsN9eTO+vaAX4GTVgRTYwnNvfHY6YDmzNI5u5/LtlNqQ2ynQ2rtwJOcZQfL8MCi GGKbcDgIzYTaqM1vtlQZ/nE5vcIVpq5TBhTrcVNSq9r92zt4N+gsbEYdqDlLSC3rR1wkEZpO IIHGe7idWqO+06Zgkz2PpNE9av0mgz6XetziN46KZfP3g7mPql5CrsrJH/WdjmYAPUSdF2+B N8/CYp6j6BYglg1F7FhJ1mmQOwpSd/lwhJqqThUWpdfi9F5hCJt4LZIDwUjNtwhZq8DFoUM6 DXt6jyKJg8zdwNqJ5MrYjSQsbxFVq3P7zfWLE+HeFbM1MnikTvJzmpMMxSMBb5a6UZbPyoMF LohYiQUK03DxYBYA2HHqMp0REZQsH3vZx7eLiuxo2qcEmwHo6+ZbEbGEGtTs5hzXBTzmlYAI ABvEuK6TD5eR0kUep6k+l2aYqnCWkwXSeKGDBXNFuOGvYoEUDL8g2k6ie6hkp1gUbP2w+ciO 70i2orAnq6hYZnjsEBY0Bf2M2PXDGDz1qecT+4f2Rf0IBLO4IiG58Vy+6qkwY7jF8eV8OrwQ B9zKS+MOdIBKvDYCBAqoq+574Z+1CtD+tYfe9bx7VqtYe9JlOXpW/oCdeB4XM5EF1JKvWXCL jbtGAxItBzmQsnidlomjYwpUhLjsDUpTbJ6nAscX6cmVL01KsWCpGUuNsjVDTfKAoVYX7hof ntm41UPzZCGwNlPRkIncZSSthPQGSwVUIhe1LMhAYS0fmqe+/4QgONuHqgnsWNx4nYRsSIoq OvUXAY2oj+eY0/WcN0cR8RWlEPM1cUJmHAySgi6Qddo2WVzQvo3JHreGM+XFeGoTJQPkjmvy wFJBsGg2c6+o53RUxAmZ0VkQ83f7szCIZiy+itrEuRqllkTvx2vgcNWMM5yCE+LlXX35stlv 0NA0fSx0eJWWgNJKxLzZCLAwpXUpN4uJSDO+0zPY5gEuqIs6UMNp4tugFaWYQZRyEeOLHnDB oQCyhmVEW7eVB3EEj0SCbUZZsFwd0sekE5ZKSmzk8sZe0p1nzLUVTeLPvzVPxRlyxQmzuIpW XhiGcLAoyAB0md+w3K/jnHUlr/N4njkFjj7TNEKarwHijBwDuZLUcVtD7p7ww5A0AyCSeRoA RwUADVrIP00ncgIifBAK2TMMY2K2IOFg5fncSQsSAWx59ZHs2yI/FwBKWke+755/0iS6c2lW uUs+YKOU1sbSZf/xcoK8pXtmOkDUeMHmIlEcaW+GnjR3mjre+ekKT4HW/WiRApiYyIpFsADI fWl4iQW53gF/dL+iGcxUEs0YacKqyaKvS3GVXYWoDvJHdZX/z98OlxOkRv/S/w2zAboaKlY4 A3ToTjhjyfnkOTgNHOFMhlbHM5OhjYdKi8f5slsiXZUBgJEuDnE+tHic76glMuj6ypFzo+Bf f8to1FnwtONbpoNRFwefJrWe6W7yqcMHOdLqjDn3AIgEWQyDqph0vLpvq4HAFyuZ/P4WpNRd vE5u9V7OY475Nm2sijzgyUZvVoyurqz4rX6syGP+NVNemqIdEc6vmr8/pG+6i4NJkdLXKNqa ykXCLdI4Eqv2m4EhNzpSbXW8WQtIS2WdxmaZbhqLXCONtTmPaRCGeL9VcRbCD+lOouZIw5VF yCr5gawpXDd4MxirNca+Jl/M1i5fp3cBRlIExjqfo+G9XgUwgPGgLknFCq41hMGTxhCvbsSy 6xIxynRQ2f754wzeL5ylu15qHjldn/nuGkyewov8TDkLcrnBRzZiJWBSqNenLmjl5w9xyoMe 1kKJyFlYWrjJqFKKrXxP2U6wbBcqPZcKF0V3HltCN1jSsgpDwMIht3gNKdAnWSJ42zCD8xdX CQN6sQYvvv2NjyLikRNriUzMwTnT3oe3xcCq9eKHFcQ0dBibub/oMFwrGJ6mowWaOLLEP3+D KK2X03+Ov3/u3na/v552L++H4++X3fe9LOfw8jtAuvyAcfX7t/fvv+mhdrc/H/evCg19rzzW zZDT26v92+n82TscDxBocfjvrowNqywXV9k1YLHJTQQchQV5hbWD7BtOCmAZSdAbEGX3yC3D Kl5x9iuSkAMBvYYrAyTgFR0NHQCgkR6QCOGo66VwY0cqHoqFhHL0sW1UsbubuI4Tbc/3uuFg mxPX5u758/0KaWDP+ya1GuoLJSy/aSESdGGUkG2T7gukLRHRFM3u3CBZ4nsvLYb5yFLDEJpE UzRdLTgaK1hbskbFO2tScYxH7pLElL7DuL9VCW4cMaJy/RALplFKeucDkJ5GzORmt5WFopRa zPv2hAAmlYzVOgyNugHRfJP645lNsc6XcgtNdoya016jKLe8dVXBoXx8ez08f/n3/rP3rAbm D8Bf/zTGY5oJ5k0et2xU73Fd4wN911syxNRjS88i/nSrapd1uvHt4bBP7F3tY/24/oTj2efd df/S84/q0+DY+j+H68+euFxOzwfF8nbXHV6Xq6JdXrVXvepyeKTVs0u5dxW2lcThI40Oqqfl IgBwGe6L/fuAS99Zt9RSSE22qbxmMxXR+3Z6wfBeVTVmrjmS5jPmpW7OL501m7NU6hrNiKtL U8P0ofuRGOdHKWkJ1LZN3OI8ctWM9h8fUpGY02lZN7cxTwAgN19HTD0BCG5jDJ7l7vKzq1Ej YdZzyRG33BdtIrXaV7EH+8vVfEPqDmym54BsvmS7JCjhJXkWijvf5jpGc270p3xP3re8YG5q MnYR6BzkkecwNEYukGNaHe2YzZVGHkwTY+WQZOwZaMj2cMSRBxhPqJppS9HniFAEQx72mYV0 KQYmMRqYz+fS6pjFC4ORL9L+1OzWh2So0jJrxXR4/0m84bUWMVcbSSvwyUXd6/FDCXfCMxpY ndZoEJEvt3aCYYCrunU9B/GGnJqRdA5wqlpKfHO2z9Vfsz1FmAmmTyvNa3aKnyb6XNNcYvig yKqDHmJoH0NFuKe3dwgoqW5YtD9lHoqchfgp9eNTbNRx4pgjLHxyONrSZab2U5abuVHS3fHl 9NZbfbx925+rqx/U9C9HzioLCjfhrDcvnS0UjI/R3oqzjISprjSnBV6Nea01x5QwXvY1gH2C D4fyyHWsbenXw7czpNU+nz6uhyOjtyHTl54wxlIlOb/UiiCkB1ed9cXollrEqLli1bYKyhtz S4xlc3ME6JUWllZa8OT/2b8lcusDOtfQ5utu2DUg1KFBlw/mEPE3hcgjfVnbHFo1V5uR5hSr +PBGy+FOXpBojdVismDXv3X9sOMlLqSevV24iCAFiFsstiE33KmEGYvDPXDn+9FMQGhCppR6 S03psQ+3Jr4rE/eiAKAvhx9HHSX0/HP//G+5RyW3v/6GePVxs2Al0kdIp7HK59VcCzsnGWTE Eymk0lvQOQaxNTwC1yyQayLgjRG3mxunHuufhMQevtweRTMCUaaT2gi0u6pDYtygCOKIWoqu 7E2pRQipTwarW5jWj1sE+bogq5A7ILpa/qx9g3QEKE4YuP7scdLR50iERdzSAiJ9kCuKWbhs x65yRx3FkSXFxVDbwcy0Pl3kKC3NTRzNpLInos9nXikXNjAVdMqnT0yF2IQ2/Qm0SLBSCyhy jD3FTBlA5cqQSyQrLRdOns7XRC6oLGP7VJDksPp3sZ2M2jI6VghDhZX0QIwcgyhSskdpqPlS DnymZUuJLBGp+YqZ+9Wglfk7SmLzbcXiCcfeIcZMMmyWQ2wYQndYOjQn9gpnMD9x8JImKbxF Mm+BDiAyjWvf9z2ggJjyBOPAGDijBZ7wvLTIi5EjZwiqj+TIOoUihaikpbInKHcVryoGIHAk lCsg/ozCbhNykSFOtgi1axKppzAm2zL4fWvuuOFTkQsEOx6k97BKI40XJQEAk+NZPPfQR8Uq c9QikJsQFJ21LqMaZA+42FsP5w2Q47vSZuQ2QEv/t3VuEKe+bjHqk66WIkV9Px+O13/rgOC3 /eWHiWXq6mgxyKsVyiUirL2E406J+3Xg5386dZNoiE2zhFoie4xmsVS6hZ+mK7nJwX7gzhrW lv/hdf/l+n+VXclu40YQ/RUfcwgMTQIEc5lDi6IkWuJiLqZ9IhyPYBiDcQxLCvz5qVfFpXqh PLlJ3cVeq2vv6pefPeM8MuiTlL+HnD2CGkTUQqFKccbmw7SBRrWNI5Ubcl3S0LrWlNk3EnG+ 6j0qOlMh0i/V3DA2K26LqizfSozYWQRu0GHZBxP6CO7GEbu50qRKTR0pddGt4TF1ebZ/0Ecd baxzjtVrMvnA7PGQ7J9/LJ0T2ho6XjK9Iue4qcqddl+uJ6K7aGOz4xRNSAMcjBP51Y3inWLV 6OVpQNrV4e/z8zOs/Mnr8fR+xpVU+zkjvOyGAJEy9CxQP9AqMPiKSULbXdoIAoJVmeFSBI9d aGfGycKuO17q3Wa11MRUl3e390i2VewUvejhJ08l4ObyAHPlTndAf0b/iqD2t8XHF11LP+sk a4gAm9pUUOe2pI6MWXSbZaX9uPwXr0tY0XlSukRexXA0lgDAT7kPgFlACMHRbWOuUhWacIRP dlF+1y3LfBdbHqRfQiJ7qxFypFMLS2k/JO26GxtTSe5A4+L7Gila7AhOaQX1zH/CUdX4Om+z YEAcV9IJxKuSdojf1DTRm9Bjb2OUlEC29+7k8uUNkZNqplgL0sF6ePDm6jjH6WzL8IPP1ZVR w3Ryrp4oDRGaIZRzDqqn5QO7+eLQ171xT2KPBMSF90TP3GY/Kwf3pl3KSQlmtf+vxWIxA+lK flbl6A/V71c6MOz1rSITwDPx1DZuVuvJc05sbdVDxdlKuNznmHNHc9vUTEGcQd2l/iAIGtZ1 P2zQhSpDkrTqkTSPjYdCWZ6mTR8Q7VVK9kR2MSvNSZzlOwN64dtcpBYYCXErywkqqWkTWW4V bcN1TE8UwEGrrVyKEa8CgK7yf96Ov18hG8v5Tbje9vH1WefHxCs78IfnVlyvVYxw4kYZk6QS RyxvVNZzhEM0xZRKbRIa8nXtV053U/K8Ria4VANyHyFzwSxwP8qF3ml01m0bWlhiMOHQl/aW ZBCSZFZ5yDrBLEB60RLw5cWVmB+SNL6f+Q1ERbCnEIFAtb2bWN9dHBfqwXt0pZjJb8e3l1c4 /mgUP8+nw8eBfhxOT9fX1/pxJgRtc5MbFujHB410eOxdMEZbtwD1ysV3KGhNHd/H3klQOa3t ExIGb1upIcqYt4hB8o912VbhqFip5jE6OhbH58SF29lU7HRh6jyFLLenVb9AOvqFYl0v+DTC CM+DImyvmzKe88VPU/fYXRWtra8V1ahW0nhrktq/jfJ/8GTSJYgqy80atTAs3iP0psnwNixR bzH0XFienfDAzyGIihJDqfxc2HK6fojs9P3x9HgFoekJFkorOTFvRuILCEWosAoILxzXn5Cg ECI04OZZtyLRFNZIXMlP7DChi8O0O49KWjsSds1+vI5FckZIlAvvN4QSzlwYKHe+mCxyEfjU Wn0Xup6IBvpNV0XxbeVjlT1idy2Jjoo+VnqaWA+X5YX0ZYUL3ikl8XLthkT/7QwMl3YpS2U0 a5iPHRDcsgQiMySrlIoKyeeRTbHY/uGmOebkbgyfWB4yUmVIAO+qNoFW7A7Sgx8sJTOA/rNz a2eXwAfBIVTT06UJez3n4iZBm+YBSJQgDru+2AaLcz7AsOzt3tTTDKfhyWr3GzJz6Z+/6qrM FHh0McSZuZElkSNab3lqxVkGqy6e04+HapNlyOWBvNH8neO/GKAIg4b6mUEx1kxN2INx93v1 kBnwnDFn4LC0D1m99UplzoKCSXbj3C6bMLtbxtRZasqQcK3QeoKzLqf3vZDCDLsq5h1oZgPN d1gWFzuHLfZY2lBRGyJahUPNprPlQYyD0zAsnIXQKDDTcI8FqZApEfbylqgYLiXZ2pHaBZzY bjSEDvUGOR3DGCzx2vDhkVbgsbj3l+PTvxb915bS+nA8gXFDpIyQlv/x+WDFjDdZEjoTAz+D MZPz2NyIuU7dBVszdZyHtu5ssi44tnJJUYMdxFNqSJUBkshmad+HDc02lF5hhpPAlLA2WMeP QWC1LJsUmxG2mQkU7aUpYyOa8OIDyaSUTlASg2CySVsJ9HBfJZrsenE6G+F/cZu8MGGxev8H q+ZxnRIaAQA= --zhXaljGHf11kAtnf--