Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1753942AbdDMN7V (ORCPT ); Thu, 13 Apr 2017 09:59:21 -0400 Received: from mga03.intel.com ([134.134.136.65]:59653 "EHLO mga03.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1751645AbdDMN7T (ORCPT ); Thu, 13 Apr 2017 09:59:19 -0400 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.37,194,1488873600"; d="gz'50?scan'50,208,50";a="88380008" Date: Thu, 13 Apr 2017 21:59:13 +0800 From: kbuild test robot To: Anshuman Khandual Cc: kbuild-all@01.org, linux-kernel@vger.kernel.org, linux-mm@kvack.org, n-horiguchi@ah.jp.nec.com, akpm@linux-foundation.org Subject: Re: [PATCH] mm/madvise: Move up the behavior parameter validation Message-ID: <201704132103.LUYgcBS2%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="vkogqOf2sHV7VnPd" Content-Disposition: inline In-Reply-To: <20170413092008.5437-1-khandual@linux.vnet.ibm.com> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: fengguang.wu@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org Content-Length: 21769 Lines: 329 --vkogqOf2sHV7VnPd Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Anshuman, [auto build test ERROR on next-20170412] [also build test ERROR on v4.11-rc6] [cannot apply to mmotm/master v4.9-rc8 v4.9-rc7 v4.9-rc6] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/Anshuman-Khandual/mm-madvise-Move-up-the-behavior-parameter-validation/20170413-203541 config: parisc-c3000_defconfig (attached as .config) compiler: hppa-linux-gnu-gcc (Debian 6.1.1-9) 6.1.1 20160705 reproduce: wget https://raw.githubusercontent.com/01org/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # save the attached .config to linux build tree make.cross ARCH=parisc All errors (new ones prefixed by >>): mm/madvise.c: In function 'madvise_behavior_valid': >> mm/madvise.c:690:7: error: 'MADV_SOFT_OFFLINE' undeclared (first use in this function) case MADV_SOFT_OFFLINE: ^~~~~~~~~~~~~~~~~ mm/madvise.c:690:7: note: each undeclared identifier is reported only once for each function it appears in >> mm/madvise.c:691:7: error: 'MADV_HWPOISON' undeclared (first use in this function) case MADV_HWPOISON: ^~~~~~~~~~~~~ vim +/MADV_SOFT_OFFLINE +690 mm/madvise.c 684 #ifdef CONFIG_TRANSPARENT_HUGEPAGE 685 case MADV_HUGEPAGE: 686 case MADV_NOHUGEPAGE: 687 #endif 688 case MADV_DONTDUMP: 689 case MADV_DODUMP: > 690 case MADV_SOFT_OFFLINE: > 691 case MADV_HWPOISON: 692 return true; 693 694 default: --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --vkogqOf2sHV7VnPd Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICNWB71gAAy5jb25maWcAlDzbctu4ku/nK1iZfZipmpnYsqPEu+UHCAQlHJEEDYCy7BeW 4iiJahzJK8lz2a/fbvAGkgC9WzUZS+jGrbvRNzT0079+Csjr+fBjc949bZ6f/wm+bffb4+a8 /RJ83T1v/ysIRZAKHbCQ698BOd7tX/9+/7I57k5PwfXvl5e/X/x2fJoGy+1xv30O6GH/dfft FQbYHfb/+ulfVKQRnxcZkVzR23/q70mSt1+UJnRZzKW4V3nWNst7xZJizlImOS1UxtNY0CXA fwoqDCLpolgQVfBYzCdFfjUJdqdgfzgHp+3Zjza9ttEqpHqeWT5vl1A3Lu4Zny/0EEBJzGeS aFaELCYPvT1pSSgrYFOZkFbnlLGwCBNSJCRDRM16MDU34Jilc71oYdlck1nMoH3FYnU7aeZ6 UPUkqljkc6bjWaTafiGLqk8xV/r23fvn3ef3Pw5fXp+3p/f/kackYYVkMSOKvf/9yTDwXd2X y7viXshlO9os53GoOfRh63I9qtwdcPunYG6k5xkp+/rS8n8mxZKlhUgLlVgs5inXBUtXwCJc XML17VWzLSqFUgUVScZjdvvuXcvQqq3QTGkHK0FMSLxiUnGRdvrZgILkWjg6A7FIHutiIZRG yty++3l/2G9/aSii7om1A6D9imd00IB/qY5tac2E4usiuctZzhwTl9tNWCLkQ0E0yI/F+mhB 0jBm9nC5YiB7boHP4bA6pliQFStPg8HAJZI4rlkHrA5Or59P/5zO2x8t62pRR0nIpJgxxynA gwlCmWpVD6Z3P7bHk2u8xWORQS8RcmpvJxUI4bBJ55YM2AlZwMkE8VUFyqRUNo5ZCc3y93pz +iM4w5KCzf5LcDpvzqdg8/R0eN2fd/tv7do0B0UEHQpCqchTzdO5vcaZCpEElAGjAEM716OJ WuKhHq5E0jxQQ4LALA8FwOyZ4CscL6CTi42qRLa7q15/swgcxblEHB2WGMd4khKRuvchGTOY Ros5lmEUQTHj6cQSf74sPwxbDOXaZlDFMEJUqAWP9O3ltFFykqd6WSgSsT7OVV/uFF2AtqR9 s0DBlOSZcu4KetBlJmAOlBktpEfc4OSrDPbtHqWcGDWImcqN86AiBeokk4yCig/dnECr4aJt vISuK6MgZdhVmJIkMLASuaRGLdZDhcX8kdv2E5gDDZNOS/yYkE7D+rEHF73v167ZUQMD/UoN +/u3/2lWQWkhMjiJ/JEVkZB41OFPQlLaUV59NAUfXJJeK9FasaWguHkqQqY6GheQ4LhQBkMC ghHYAdzoPTB2MZ+D8o9jcW/ZtCxqv5TnzvJVwBxw0LbSGhJsbAJHrGhVaIfrbbMtDriKCuLY a2keSiXWjrcEZPWQOFqK3gRt+0yJOAeXBLYBuswxVYM6A5NvZFDzlUWx8gzaJt86zyyOgP3S QjejRLlNhgjmX1t9MtEhErCAxJEl12bbdoOxJqah1b5ZNEI+tQDTaUkKt+SYhCsOS6w6q54V lcbgR6GLJ5QXdzmXS4v+MM2MSMmNPDTjQCMLQ+YaxFhdPAdFYyJbn4BeXlwPDEXlS2fb49fD 8cdm/7QN2J/bPRgtAuaLotkC42p51+7BQwaMK4GwzWKVoNRTxwpXSdm7MEavI3940IkG/80S BxWTWUe049zth6hY+ABkVkRgYNAhLST4NiLxKVENQUBINCnAceMRB13KuxarNS8Rj0uLXTWJ so3d/ujwomm29mAA0+sZ+KNGQ6B6p2joR90oo2kWQljEaWxTkhlvptALyYgl2VU0AkOkCS/t HE2yNV1YC29nUIwiCwpYr+5ooH67rVpN8AGb1IyChfPtIBFhNUfGKFLWknER5jG4VCg2eN5R RQx2oEqQYR6ob9fqAWlhr40rAsoEVFTGXR5wLFIG2oQu74kMVW9C8ACpWDCJcmqCp8T2w9Fp AwwWwT44okSRGvDXjLOqoi669AeLwhgSEhdLJlMWQyi6/n8h11GEY5MN8ZQGMdFWJzt4HIKG 0WyFVfKqv8QyGKNi9dvnzQli+T9KlfJyPEBUX/q8zYiIVk02Hj8bxOrwFD013KV0fQqQUTXX XEob9ABPI9vlgA2h7bANvLEvCrXX7UVPQm3CVIQAd4Ki60hcurjCyVOE9+W96toA7ZGrqNHt DlbdwQlvgksPcWpMPh8D196Vxy/nCawRjmZYLNGKe7epSh8+Bv2U94NudP7B41B8FtuWvHKl ax99FpLIhoLDQxUHdQBBrNJdCLqrMzV3NkKg2rHkjXer2Vxy/eDcaI31CFrB7T0jBk1CUPoM M0xgyr1o9zOX/JVToJXsaguzU6CvyEg8OFXZ5njeYXor0P+8bE/2SYJFaG58UHA50Od1yqAK hWpRLZ8n4q5mXExyh75IE6mLQD1932ICx3YDuCjjklQIm91VawhWCCk1hNDorus2lBmQusNI ksTTExcw0qua9/bd09f/bgIH2OHISlPDY8wBmuMJUTqXdwM4GtoKPgZz9r0HOWS+zjaw6t1s Gt2Yx67klWJyPDxtT6fDMTiDmJjEw9ft5vx67IvMx4uLC6fcAujy4iKmPuDE3++q368BfVpf XFiePpnY3ySLmKYdk52AUZ4bt9k5l3GZnBNhwhf+zJkJ7orrZUcFDOCX06XbVxxgTq89mOBy OVYC7DLWvu9PRBD1gC9fsJTMur4gkIElGYqxU/hr8AqirFQT+eDo67aMj8Vll2UtYPLhouOu PBZXHu6Wo7iHuYVh+lmKhcSslgO9IoAVtEFDgcE1xjhFx70qHUYIcrrHAzyumRDVKF0PoGov 0LybQV3mP4vBFGXaHCvw4NTtdSfuoF1FmPC5JFVTS/DFA/iTYSgL7RXGFQe3Qgt0PTsRs0pG tBT6lzBlaga/vb64aVJUJkcPYZVxOpedrdOYgdonQHgn7yIpIEa7J+6MEU2Is/0xE8LtTjzO crdlfFTeYC8h6+rGxZymZHb7yZIZE7KYs4axzRLCKZcPi9ljc4pqizR7PQWHFzSKp+BnsFS/ BhlNKCe/Bgx8/l+DuaK/BvDpl47fqZwqytg5K0LmDG82gHdu9QAheqK4F2bMuxcKVgHJVCmB wZ1AB1dpT5iLQC5WXlgm/cvLiOJuFi6EzuLcYA1sS7g97b7t7zfHbYBgeoAP6vXl5XCEASrz A+3fD6dz8HTYn4+HZ3AVgi/H3Z+lx9CgnP7anZ++u5G6u7+H/zgYBwgqPZmSeEY6zgVEeXZm WCRJXqguDjYtWJx1Q9iMUggAhxaV/IamIDi9bJ92X3dP1lJrhZKbqwUrLISwRXFVxDQsYtZx 6rOQ1mDXflpoAdGopYUQonRlM8y62N/bp9fz5vPz1lyZBiZpc7aWhTFOojFc7qTRulk0/FaE OcT0tQbC8HoBbksnIVONpajkmR5GuCJ3256qW8KdZw7nxqktzc46F5bgtKVzDEnqPafb81+H 4x8QSdbn3r7spUumu9YeW4qQE5c6yVPeiXDxuw93HUnLYuE3CGXmos3wmCaTrf3RjmgaVT6D kCfm1B1uGJzSxLiVdzmIBgukwKK6hMZg8AxtV7sgJN6SPdjLqZpcszV+p01/npVJaEpUh6zQ XscZhQTOM1euB5CyNOt1g5YiXFCnv1RC0X67ekki3dbLCEnGx4BzlHCW5GvHtCVGofM0ZXFv 3sRszpMgTEF6xZJ7bmrKYVfarYERmof1rF6USLjv0SpYu273GpCZBVn4YUy5qcbL1aM8+eFG 6IYbsFEaog76JejtgaVPVbdEoY8xPsCMdY+7AfcPcJvAoBmwLJ2PxcgNDs1nthGpVWMNhxjy 9fPu6V139CT80MuwNLK0mnZlazWtTo4JftxURqTytgoPfhESt8HGXU/H+DztM7oDa/RGd+KE Z1P/snhMvANagtFqoxLkbn1TIqZviMT0DZmw4Ybq1R3gIKXf3WTv9NogxfWAn9BWTKVLqgw4 DTGcxIhEP2R2jgGBDWG6Q/oUQA0cUyAlF1F9Z3gbgI6DR00YRL+qKzfH5tMivn9rPoO2SIg7 dwCswJoevERIiHTFhniAMw1nLEYXKOqEuHVviLzMvR2YxCRzBwqA2r+4aJpKz9wFqPVC7WsY 9xYcDnCuzuCgekrM2v6tq2KvuQLCp5inS3/9xhB1ULEzghsLt9JL8dI0TU1Q5UPAcgcYJ2Tu UAIwRqSnXcp6VMaA6e59A2g1rFnh2X+OkN5eG6hmSYz4XfuWr4RxA8dQwjwbhSONvB5ICR7r Ltm/GR1ZARABsMCzHiUhoMAahjgVxf6c/v9p5tbxHZp5USqaeeHtpr0oFd18lmb6f6FKSKnH TQGho9oNk6HnlgPMofsySrtviuOJZ4aZ5OHc5WOXd7DoqSjS0xXY5BxsFZO0+HQxubxzgkNG U8/ximPqrk7lmeduUZPYrSrWkw/uKUjmSVAshG9Z01jcZ8RjfBljuNcPnuPEdJlidJOCutcy AwYScz/iBIuMpasy0eBmQHkevDrQKGGv65lkHhd9odxXR2aPZjVerQwY8VWRQGhmbJofK6XK 5ccgSK4xN/lQdMtkZndxL9wOzttTt2LRGOqlnrPUdloWJJEk5O5cFvWxW4ZuoZ+5RYeAZllL 3zGNiiX11HRoyUjiuLCr4Pcci5G79ptGc5TES7fc89kAWCrautd+u/1yCs6H4PM22O4xU/MF szQBOEgGoaVn3YKBvilfKPOlWN9gZUnvObS69Vm05J67X2TVjSfzS7g79qAsWxS+Mt808lwN KXDIfHW0aEsiN8zlVtanWenCpLWtQhcpYHm9ciqjO9kKT6Ez9fxgSkoqjFq4w+2fu6dtEHaz k6aSfPdUNQein2XKy5KlJnvoagYh04vbd+9Pn3f7998P55fn17a0HVahk6xbKF+2QISSp53A AqQhDUncuxBqKS7LWSMuk3siWVkb66BAdG8qE+wFN314WhVhWEnCNTiMDUanlr0ZySS76v1G JI5nxHndY0oezYW6le2zLBfegoeSrzyX6BUCW0mPB1AiYEl+NQz4HYlYuQlm0Ih6SGmNbErL PSkeVSwgVJMrroR7cU0hepbjErmvbhfLUdQCSBliXXHkuLXFi4wvRh47GXD03QfFVK1Z0W4b KCIXH/DyMcHnJFVlIN5tyirYtjKmpsnRvyqLcNVTpHkc4xe3Fq+Q8EJFqRAWzbOrydqtxkxl RXZXUK5U4TML1YAhoTdT131kjZDj/eCPYUcK8jgsQO8hxZ1iBrvVXM6ZisXbT304lQ+ZFqav Y+JQzvwFJYaQb8DV+tMoXBK36aOhFAnaaxqu3DNgoaPA88C02wFqpnhjiVKNsNbscZV4TAQA iq5pMUchwRdfjrOhWArnUuHjoqt4dTHx+IN5kjzgZbzHQyWp9tWAzvF6jbqdUM2jxCg0J5Sl NBYqB+WqUH341MIiw6dh7sm9rJz0z2d5F8RAkSXBqbmMa9diIMXNFV27wyw6+3h5MdhL+Zpm +/fmFPD96Xx8/WEKgU/fN0dwYs7Hzf6EMwXPu/02+AIs2r3gx9qKEoxBN0GUzUnwdXf88Rfe GX45/LV/Pmy+BOUjsBqX78/b5yDh1GjB0u7WMEXBQxk2r0TmaG0HWuANpA9IN8cvrmm8+IeX pqZGnTfnbZBs9ptvW6RI8DMVKvml70Tg+prhWlbQhcc1Xsem2tALJFFeGyyReWuDeWjnFcPm ojB73m5OW0AHZ+fwZDhpsgLvd1+2+O/3899n45d+3z6/vN/tvx6Cwz6AAcqbTrvUK2TFGuyX yaV25kINknGXdUCgAqgrMQqgedgdZx7iUJ3satPqLN+15qHhUGWbZizingmsKpZSyEHNXYUH E3hSoJh4xncXoA+087oDEPCdUVnPV8oPkO/p++4FsOpj+f7z67evu7+7aqyxjzHR+GRlfIfG k4iihrOU2xOdLAUw7FtWOLQrNnUAlGNhtJBh9yq87lZ5OKMaHbPp08nl2wvvlVjUUMLodMwh MDgxv/ywvhrHScKP12+MQ5Nwej2OoiWPYjaOs8j01dStTmuUf4PqkJ7rhYbnnI/Pw/Wny4/u /I2FMrkcJ4xBcV1+NjZZffp4ffnBxZwspJML4E4h4nHD3yCm7H7ciVndL932sMHgEOfO3Uex wYnpzQV7gwdaJpMbdzlbjbLi5NOErt8QG00/TenFxdsyXh9MrFeunJbhmTTFzKBBbXpLwlHF aenS7tjBKtPH7uVcrb+AbVUeyu1QmDnvRl4IGIyeEjPbqNZf1pP+DLb+j1+D8+Zl+2tAw9/A t/hlqG2UpYjpQpZtnUCjbhXK+Za6GciplZQEhZ6GzjcmzXRz13TKk98zm4fPGHB7snwGJRbz ee/OqYugKGYZMcIceFOGmLr2nE49eVAZL/k/YGtERwWj4Ob/Zd8f/eUQNew8RIn5DP6M4Mhs fA0Q45ufB+jYbQPRvuy8gWK5R/l4cYQt6/nsqsQfR7p+C2mWricjODM2GQFWsnd1X4C2WJsD 659pkXky+QYKY9z4VE6NMMoP0i9U64EJHV8e4fTj6AIQ4eYNhBufsS11zWp0B8kqT0Y4FWa6 4BNPbGTmx8taEJwRDEkTT3rdwBmsb+JJrLA5MQoZbBl4QOM4MXzw1HY1OOOkAGfiLYTJ+PFM iNTZ3Qg980gt6Ki8ai48D8rNDKnHCayM0frq8uZyZPwo1xgOhyIh3E3PUpV5ns+XwBRfqIzC yaWner3chGYuL6iEPSQfrugnONiTnqVtIejDYlU2PkBP52UMdOHDrSuGyFxZPzPQw8Ikv8GY XvswElNX2t3IHZghTovLyaeR3d7F5C19GNKrmw9/jxwhXMXNR3cKpHQ5VOb59RsDvg8/Xt54 aV5WYvRNVpa8obyy5FPPFevtasTECxWWckR8SVV3pJo4Iku7LSl/lgFiSEZ1pxkf8hDZacLt XQxaLjvPX6o2N38r6PUHt/sL4LLwh3iSeYBgpNPzAG7wkKC38TAxFw2ap0OihJ2UK2C6fU4b Y1Aq34JmecRFb8Ay4W9ehMD5SSFQkPgLO543A9DBJGXbojNoUSnJ1ELo3sh6wVP0gFccH1P6 3Dwc0fvSAoBMugQIKcEx+dCbEysg8CbF/OqHb8j+eWghj0yKztYaxvfZULeDXvBN0+KoEWb1 fjnEBpaXYD5oFJMl8/bFZ/YegUSO+a/mKyKat3K+65c3nnxqIudMD3KgFTTKVec9UPkdHXab xnUrcfnIFdDc6c7ZLSjuHgR/bmQ4mCPaKHNLjLHg8urmOvg52h239/DvF1fuN+KS4bW2c9M1 sEiFcv0WTFkShslr+ykU71aY936RQ6Qh/hJCK5CYfbc3xu5yEvNHz2WfKWz21g4WmnmS4gmh WCHjhK3WPgj0Usw7GwaDwn+bjSUT3oUiEKNJLeGDs9hA553CCfharAw9za9xeaZd+S5n0tj3 a0rgBPdKcEr5wIv/Nonfe6AT7k7n4+7zK/4Ynyof6pDj0/fdefuE70iH719gXXiD3Hu6UYbo /8vYlTQ3jiPr+/sVjj51H2pau+X3og8QCUkocSsClChfGB7b1eUY26rwEhP1718mSEkAmUn1 oRbhS4AgiCUzkUs1DlLPV22b5oZRr5l9tk7JazmnPRGKDE5Zt8mmCK/L86UiF7HbAJwYnuOl NMMxqR9zK0UgU8EO43up6kgFKRmsw6tqpLt/wEYP3LT7+euSKo0VTHK1wmBD9NdEQ0tRGX3p DWNx6z7Rgzy1E/ycD4dD9tovw+nDxTcENgKkbllfPsiA8vBxnwxLPwHGi+5WHtDlOLNSTyci TMT0x0Q0V4gAvaIQYQyJInqKun0r4Dinznq7kEUoW8GnYL9Z9A/RIk9F2FouiwnNfi+CGJXz jNtVUtJjFLTkuOPCw0k39u6soQVGJ5qUlMbOfw18fe8tEm6gmjqB2KoiJucA8FqR9qWgpqgy 9Ac/wbRe/ATTI3uGt5QhhdszkK+8fklOTA5bX6rbVihbK8AUkRtWLZSj4WBSOmdrXVCF2olP cqzknCwRejLtqJuzBmtJmHVp0rpsO7+JnJS0HehOJcgAVPMJLbWE8c1wQE9LeOR0NLuwBYeN 8da5wWjEKLuLJERT/v72JPC70vMAXMjRxe8kb4O1ysiJKkvhqav1iFFXbEvSMthpau19xHVG O/A7FZDBdS24oMJ5quCvgceGYQFz17mirf6gfMs4KpVcFTwdaGQyuDAAaj6alt7H+RpfqBKL fCv94HTxNubMUWPkt0S1YIw/Nsz9k97sRxe6AX0QSer1PY7KScUpEhFjTUkAnfaiesfJLW6f VJD7yvmNns+nQ2iA5mI3+nY+h82l5QVOtLzPvUtd/D0cMIO3lCJKLqzyRAB7E3ttNkX0eazn 4/nowuKA/+ZpksaSXLbz8Y0XBCORo83lF0+2KlTeHZwN4xS2OKluxXTjvRzQk/ESrBxR+y/L ZFWHpTlvCMDhwTZEjsheosXlUl1go2sdotvot0iMuUuBb1Gbc3Ag5mvDw0qZVGw90gPT7SGI imin5/URCmDjFhd4TYyvYKR3WMxBXmauohAyKb1N5PPh7ObSwxK8SyDnVh56Q5zPBpMLczVH R4OcbEyLGE42715TWwb84pzTUn6jm1SwV/n65ZvRYExddHu1/FtKpW84vbvSw5sLbwxiNoht 8Meb4ppRBEA5mhsHl8REHWtv6GWmAvZ2AGhvhkPmNgvByaUtRhtr7+Ebb8cwUf/BxykSf21n 2T6Wgt6YcQJIxjQQfSYTZptUVEBWpxNGrgvjbUx1yYVafg1VBRmcR4LRX5iWJqbb3tbfUeFn la8VY/2OKBz4adBS63Wb3anbxHcLrkuq3ZSbEieC8SXOS++TNNN7PwTqLqjKaMU5wi7DkP5M wFmSNm7IxTQW5i4bZ4sXyiwEqfvO1nuMgPfS2NEqdQUlR6sUIt4KCvRIQcrDjfTOE5j5YFyy MIireOPch8+v+/BGNGYJAgUyJ9+9EOTLvuphBnzEZN6Pz65ZfKlKyY+eCrKo0DyMzHtV7sSe JYnwxtoMB8NhwNOUhsUa5pjHLYfYC6co+PRTIJvGUiSiCVjKEXzrrd6c6SyO+zQPGhB5Svr4 R50arGcV8B9oi3cLWrJ4iRGAy2oFa2yU49/Uasyc6CzwA8P6+yFbsDCUGA7NW+VYXPtY0yo6 gOOMsVy1IF7rMK5RgKfS74E1XvKLrMOMMZ4mX0eKCiqho7VTudCL2jfL2i63ImAv4MQy9AaJ 4EbsOK0kwplcCc0E50I8N9F8OKU39zPOqCMAh7Pqes5ww4jDH077hrDK1vTBv2sxXEe3w2oX UnpkJD9rvuOaqaUw4ymm8RKPD0EG6JQTcfxGY1ep4EKOqpJAj4oxAmopKtpQDhypxw2l2jBx 67Jc6dh3EiYaPWsFKFCCDMeOaS4ajROFnSQMCnTNNV3ADV7rlhuG/nYfipMxprQepFe7J3QC /b0bCesP9DRFI/+PH0cq4pDfcfdkcYmqfvp80iFdKdl6rGjjOPHz84O1fVVJVrQCtEBBtVxi mMeICz5cE+G1GufpXFNo6927iZkZUxPFwuSqbBPZvhfvj2/PGDL1CUPdf79ruRw19VMMgtzb j6/pvp9Abi/hrbXrDG3Hb9WruZH7RSpy75bnWAYLesP4b51Ios1FkkTuDHPfeKJBh3rUS9Hf 80SmTboTO8ai4ExVJBc7VbZfrfvNPD0VFlSZpg+AGtUyV4wYVhOApBZJkxaMZUJNBJztlLOh qim2GjhjQduLNj3ZJyKzHAqcLf3zTrfDrrZIbDANJhRLTYDvo4EbZPSVzYC2Ivqd2bRYddWZ dvau794erB+Y+jO9aptA2/iJL95P/Nv6p7pchwXg5Gp9OQ8GoQfgbrVc0J4JNdpcrnJTonmy HsWcKVPTTB6wbRSWhIRWIpakZ1/w4+7t7h4jupx9II+Mq3Eyv22doyWobRfqeFqRZbu1S3kk OJetd90yoDsXYyTH0MtygeESb0BgMnun7doYli1s/GZH05k/bCAUJLXxfcgZNifpbcrpgKuV plUiTSY8mveFHbgVQRhKNrHsHmn68e3p7pmI+1l3XYo82gfuhXsDzOvwyt1CJz9Tk8fBV6g5 lEvkiqjuu0Sdb+eCnt+XCzT3VQSS5FUhcqOd5FcunGOOslg2NBO6bQMsjAzp9mORYNSR3Gga t87y7Yjn/vgZG1uI8ev1OstZ4ruDrBltm/tIfvM4PcqM5nNGi+i+fVqKzhxLDq9fEIUSO9ms YQ5h09U0hEMfKSZkm40i27Vf8lvwTbecQmc2tZ/6lVlnDayDIGGE7Iai2WS/GrHCN/gHpBfJ ckZPXMN5xm/nAMOHr6Ls0jNsOglG1oRNuElcRZ+WWayqOosiLb7DFtuTiCgf38xo1gF5D9Ro ER8YzrlG4nYs90RZl8ut9vdfE8CfjA5Jvm3HhyhVFO1bQ1GzpqOAmq1YTA4sY12gM2aPX+tu OOos010BAwp95YnuEYQTkyEF2fL981Pt8t59K2w0iGy+n41NIcboXk5UUcixSw7RKvN5g1NP mtS4hze3MzVqMujn4f4/xDjAqw2n83mTp/DFkyFrzbBNDsGGVXSEybuHB5t5BLYl+7T3f3nx 1KHfXKygHW2gk6U7DLi4pZdUjYLswPCpNY6pZyNacFjv2OySa5nHDE+/ExhvK6U06RoVTue0 NTVTcHh9un+/0k/PT/eH16vF3f1/foLs+Oht1pqy+AKJQHSaW7wd7h7uDy/nMOMiXgjPU7wV qL/W6n8+fzx9/3y9t5lheN1+vAx7zAgADKOE3inXJrDh4gNaNxBlQaUYAQgxzuMSn/lVJLdV EKesjQbQbGScMa7HCMdmNr65ZuGtytDzn2MqkSQPg/GIufuzuNEdO4guASeXIYGOp4y/iliU 00E3+IZfe68DZjYjbNBNZzyelpXRgQjpXcYSxj2jvC3nU9qqK5erImK9ZawC7ZgFujM5V293 P3/gIiH2ULGi1MfblYATfeEIIXWBPb9WmKpj6BxdYd7l1UWQXf0uPh+eDlfB4ZQM5w8+HiY0 ghIjcQpbquXb3cvj1b8/v38HESxsi2BLL7vMKaYWjAoZhmtxzBvleBMsQLQxrVi3UBgynxIg 6zS7lZoceOdR8GcJ53XuuSQ1QJBme+ip6ADW9X4R+QGOGyy3MQtKGWmMGrbYM+wnUGLwrOOz +2iO3eijOfWII7IuOxgkBN0HFiCYxsAcYSbFnoaXsOQwIysIKYrRiB5fI2WcEhGH6ckdfUuc tLi5MTow/JAi2EQYkottAENW1zHW2EaMiuzoGMpTxJu9P44KGOJ8wC+s8pxhcnGQY/p4wIr7 hcxHXDopIIDTI4JRZl9Txdowk1j7JgZQ0q9ZxCrDcMgaMuFys5ZbHAp8M4upa8a01X5rk6fs M3MRSmYTx/Ex++GIDu1Vo+yr0mcyImLLhdBAVLGjl8gU1ptiN5/NPqePEcDG4ZIdgW2ahmlK H4MIm/lsxL6NyWF98/OnFUzcn7Zso4HIY862BMco1kHBv08R0lwkTpNFXK1KM5nyKwJTQxUM H4qT6WiwyBIs5mzMHNxY8HZOryXDQOOQFWm1Gd4M2Ca0YoN52sG5HjJxaY57mk1+QxxQJ0rY OzGtSVdRDEf1++HZhhUDjvpXs111RZw6tlvQ1n15xfBvVMQJ8g0DmiBPd67/9TIXsayjNFKK EAI+KqOyHE6qnFmrRLU8NVxSYW1U972idOXZl+FvdC8uSjgnEnpROjQw3EPaX9ghCqLCjEbU naolapLiNVSO9igtkrD1E0O7tJVMXjmGLw0ioZw7ZO21koR1gm6/KAv8CpXGtKBJ4AewaoD6 W1MjXHcEfQD81mLgb3KEOk9lCytMmKUSAiS6f+pt05zX43CfiFgFGGIypYOtJKc1hRGZqjrm mvvUUwAfp/AY/QzBZeehZ5TVYtm+MW7atok6DnW75VzsYjhr8Z3ZZtMsGlv++wLR5CKRXoid 7KWArz0cbIZtGodCBDfXMDk9Zxz78l0DFlvcnl0eKqKUi6mBYwbCgmLsAO1ENJmgr4jraVSr gYezKWPkYtvIigkXKuH4to02RWxJXbGdyK05JsLhfH7THgvYyxSn/D3BlqNldMhIVMznTMyD Izzqh8c98I5RBQO2MPNrRnEPaCAGwwG9d1o4Vpx+wE7ecs8FkbG19WQ0578RwDMuzg7Cplzy jw5FHomeEYNdqw+OxL63et08Ex7k2DwP183zOJxqzNWN3ad5DANtjpkgXQkGAAnVigkkc4K5 SDMngvDrxRb4z3ZsgqeQiR6Or/mxr3F+3izjec/KX4dM7q8jyK9RFcjhdc9XswZe85Lv+ZGA f8QmzVfDEcNg2pmTRvzXj8rZZDZh5MPmiGcvfABO4hETWKXeDcs1E1UKTzyVGRUyrmOIx5KL l1OjN/yTLcpYLNZHwoyfTjbOYc8+0uAX9mcrtqSaXxrbcjTie7iPl1Ra0XX4xSrsPM25nYei nizMwYR4dkylanMlOGGUAC/0on1IoWkmppHl38Dadophz9qpLVeV4PkMpJi1AxF0KNZqycV8 sUdSELI6lWMTWcrESTrj634KkyYdu5MO0RbYfibxhJ14KXPJZ9l9FIso1sIyH3Vq5HoWqLAr 4kGhZw2qQszkAqzm3ubzSFaMhTAQctY+xZrUzWLTTbTb0w0P3sTcPdueESozrCEmGBKC6wK8 Y17Q42bRjJOwT6hiLo0R56yfLVjknAeRHUMZbZg4bDVs0qxa0u6+SBCsZc5IujWs4BePgxwS qo1kovfZFuzFAg/vs5yzFUUcPv4qTUBW5YdXxrrvDWUkA+ZOvobpHcRit1yYo3qOxQvFXEdZ fJnzj12nUcsYyIPhubw1oiXY8wNSBNYjlMV3IjKMOGP7vc/5fIpIgP45/NPNTiVrRhFfv1qC Qfc4u1MkiQIryvC4TNIt/9nw7XsXs1WLWnvMHpL9MhK6pw3rJZMu6f3WUqRoBd8zgaw7R/9n TkyuaPYXUYy/w8+hTCR4SR6lPXM0k4lNVdNDYES0T/itL4MNImICUlo8Ehg9KWklPG7tImw6 JITzNAgE30UtVN8wNL62PJ5JGbLRli2FkTJCMZ3L/qCsYTM6hvHvwFnD4IJDC12he3ZJGxb0 a7rvfYRRPWsCFryWTKY1i6/zQpta+cNvLHgUVxlzV1FvLX17balgtrEoRsDrfUH0oWAjsdth solEqnVB3+PZ4zQijITwyp9kWmrmrsO4ZCTf0RDXqXWcsnSNqe2VMZFsLil9vNEC+oV1Whu/ zCb+WQtdrd30CDVv7JC1gvPbmkkCqzzAbIU7Kr/RKT3L4zMavhw+3+2YdBKzY1vHeKh4k6n8 UOAWZhWfHllqVtVuDQs3UkyIwiPVIrL3ENqw3xUpOTMhxHZ2QBdiSX94zDASHF4/3g7Pz2gZ 0OUPbf3ZdTkYVFzsXSQp8UP3EchLBGlZjIaDddZLpHQ2HM7KizTj2aiXZgmjC09r07Rnbnuy nUqpiXbGiCQYHmVxaSx0NB8OeynyuZjNpiB79BFhZ2yyMJSHyQnQeOEEz3fv75R0YBdQQJlV 2tWWW2c311LRzrmQf3UTd0PKJ6mR/3tl39ukOV74Pjz+fHx9eMcELjb2778/P67OUfmvXu5+ HW0H757fbWJCTFL4+PB/V2js57a0fnz+abPCvGAeZMwK46/ohq79Ck1xj9GlS9W40V2kC4UR S8Ev5CPdEg5F7ixx6ZRG4Zr5OEci+L8wvjPrEdJhmA9ueGw6pbGvRdyJPOviIhIFk/fMJcO8 qiwH6BJuRB5fbq4RpzD2MZM+1aUGIbkqFrNRj3NtIejjUr3c/Y0eix1XFrsZh8HcjVply5Bf Rj9Lf7xUxtvM2Wp2DYeMabg9cHaMPWMD8o7BuEle+4nnTu/XiqbpD1/Hm+xUzT9DmfoyVjO+ V4COaNWh3YjCwjCKiLprWy35xZqrdMoulkiuUoNyV3tKc+y9PRabCRfsr4MZ/x2CvbXX5T9F yItj9qwyoQJRnREr7cCgkiWET8pFNbZvwr8IelgFwBktctZE0nY03YkchpGnwMOmhwPQNvyt xlSfJUbS75mdaHuxZFRfQLCH2vxMkLd23JjokXYwbLp5sZd5p8+n+Zz9+PX+dH/3fBXd/ULH NXpCs3Ei0qxmjAKp6AtQRFciXBGRbe3jD/+1tprP+Nhf1srd/Pr5+CXgelJEmWIdPIodY9kb M7a2MuZ9MJGThglHP0kEAaYWWKiIC1St4O9ELURC8V65CfCO/Mx2YUEQCddqAYvWgUn1ni48 Bpn57e3jfvCbSwCgAT7Nr9UUtmqduoskHT7ADn6OgR9cH2unBnBGyzonjP8wW44mDERxKzOp W14VStpYj+SI2i7mW3ouo/cK9rQVHxmdV5hinGtMrez57gPYqZcW1ulJqIejOb2VOyRTJim1 SzKld1aHZDafVksQvBg/CofyekJvCWeS0WRAXwoeSbTZDK+NoO0cj0TxZG4uvD2SjBljdYdk etNPouPZ6MJLLb5N5kzE0iNJnk0D5q7oSLIdD0ZdduHw+iXIitZkaNVs3UegskE/vmIeygtz yFFrGMVYEYax4GR6gBbF0hHkT5VsJJilYq4tRFH2nqVcOFSVn0LEdPqyfXqDXlAvi9VqZ3C2 VYDjmPCqip/u3w7vh+8fV2s4GN6+bK/+/nwEgZ7wU6hTQKNzRcYZ1GojyDD9J4d3/fPp1Xpp tbaEwBbqw+cbE5AL469UGWP5rte1fVkVxBcIYlMwl7JHChMXJIFsbNjQIpE+7YSKFikV01Ol cVw4aqr/cbOrW/Aqu/v78cM6pGnfry1/fDl8PGLaVXKWyxhkAjwJuufKz5f3vzsbMxD+rn+9 fzy+XKWvV8GPp59/nN2sWqlbT35Y+tDZwp/+FZet8vNQFkmp+Ly90IeKGUKEbjlPXsy4sQWp lr5sliXmKeDYkJS5olPMOkwMzelgYmaOO8p2lIoDpM4KMxSh106S/zV0no0xTdnWrM8fkznh RLQkFCHIS+rPf7/bj+w5JzYp2jlmE90es1JUo3kSo5Mp46XpUgHHyJg+B3G1SRNhKfgnorAU MBFqYl/+rt8NuCTgG+5eYZN4Obw+fRzeqI0qJ2Ru8frwdnh68PaUJMxTJr0SpuBmpq+hy+vI df4lfO14gpmfPZ8rZ42fPyVSdaqec056tEwmqzprTSRLZroY2VXgLZ9gz6kni+vMpXHTEk5w b1hfo8q3mG2KqhLzIRJTH/BxtwoWocunKoHLpznRI5WWQdHOVHMmmXTbnvyjtidc2z6RTGy6 JO4i19JwlsBfF+HI7Rv+ZomhN3Gdacpj3KXSMgeMSQj5tQM1QGkBVweBJd+K1NDqr/LimCEF YxeDEAj09BAhyCs/V0s94l5uYXrePFFRT9XliK+J/WHuSblBOH1tPLvbE64uazJw0enIkUM8 JuVyYxAkIapJ9m3c7Q89AU/4yVfyyMW2C1RdYGPteE2LGiDHgZ8nFqGTfmPCt6VuL8glxmti vkQKHC4wxy243uTu7n/4wcaWupNmrIZt0t0/w21ot7HOLqZ0ejObDTwngK9ppPwAuLdAxvSy CJdUD8NU/7kU5s/E0M8FrF6Bx6+toYZXsm2T4O/jxSAa3SOH/ddkfE3hKg3WGNzN/PXb0/th Pp/efBn+5n7eM2lhlrSQmZjOKqlP2PfHz4fD1XfqtToOFbZg4zu22DJ01DZRqxBfCa8ZFcx7 d/wtGKxVFOaSmukbmSeeG4evDzFx5k87W3BhR6tpOgfXWdQpVtJEC2ZaNGjFikH1P9wGjQHD /r+xa+ttG1fCf8XYp3OAPUVuTd2HPlAXW2pkSaGkOMmLkKZGEnRzge1g239/OENRIqUZOsAu UnM+8c7hcIacwXUPOqN45VS+kCJfxjwHE5GHtuBpiZeELnk5VuypTcCTPF+F6mTARTm+bESV MMSraz7PVZqr4eaYzcrT+pKnXebXZ17qOU+VvkJLMCAxJ+ib6or7rOFmlPFc4k4qQ9TygPP7 6mT0+9SehDqFXTxIphVcQKrWgvJnIOGpfj6qSOT+mtYjOlCRaFQTI1ugt7MSfMxZRcA2O/6p vne7YnxxRJ1mZen4z9cpHskmjMuEnfwpJ9WEJftNEQl+0XNzIrO7OqvMnuBsGhbZ7Dqt2nVs 4dGhfTmlHYy4oC+f6foMkPnnI7aMOXOxfwSi1Z4j0AdqOz+njbcjEK3YHIE+UnHGyDcCMcvL BX2kC85pDfIIRCuIHdDX0w/k9JWxhI9y+kA/fT37QJ3mjDNRACmpDmZ5y8g/djbHnAF/jCKD gSiMqEInHKhV/PF4nhsC3wcGwU8Ugzjcen6KGAQ/qgbBLyKD4Ieq74bDjTmmGLkD+Dzuy4si nbdMAFVDprW5QIaQJGqbZmziBhHGWc3owgZIXscN4wyiB8lC1JyDlR50I9MsO1DcUsQHITJm rhIZRBrCbQBG+WUwecMo3J3uO9SoupEXaUWGflEIOKIYn2wXm+3L5p/Z4909ePM2uua37dPL /hcaFH8+b3YPlDVGv9iemHgGeRz9DGTFMouv4qzfC/vz1SquKljkE8SZJe2CBNMV5An+3N3f pK294evzmzpb/W//9LyZqXPu/a8dNuxep2+ptukw32m+KIimxTl4MUYdjOVK1dLbafqqqWp4 qxJaftrREwN++e346MRqaFXLFKIfrJQ0uuLU0yLCjAXjB7PJwTU4ZBAUGSMF4/2tdU6GBdaN tsXFRBUZy6pvxah/qjisMbJ0Wq3EKEK2adcIonutyDNLaYJ3hNcir7vuKQvti3/cbV36tB4Y +6xdx+IC5M8WLJvEERAeUICsL61gVFZif4DXw/ft6PcxhdIXqSwVENYADswYWEAb+DbPr9s/ s2jz4/3hQa8qdwTQP23FqTl1lgDEx4X8QKoOqTyh4jEbWcDtRf6Gj0YVwXc1UEwAcz3WGXMB siPXYFlpKu54rlFX9MTVRG0zUosupbwxYZhfqyzQZi2yYk3MSpvsq3IycuCrFU0waLPs9f7X +5vmE8ndy4PDHOAQ05Sd4xXmVlXnlSVpcgjwXtEbw/qSdPtoDTIGZlbrhVZ0OvT2SmRNPARj 1UTgzkVTD8mVWsudOw3ngIXJY4bnksFfDqNDwK/1HIjzSPMLT9dDrS7iuKTs1tD1w9KZ/WfX ma93f8+e3/eb3xv1j83+/tOnT/+dcmxZK7Zbx9fMq5du4FW5MIYsC+yymE4tURewz1SZqrun gE63DP5RFL/IFrD46AqhFlvNIbhVx6/R9VpXqc+MHgTofvQ57qnahV7pHoT6v/PJ4msh9wKi 413pIUTl41moK085r3MaE8oYnHIpXjzVqMqwYZivVHyhBTLZgRi/A8hmq6EVmYeGCzNQ7MeP +FA2/HACNb70GXt0Pykeo7dHOdkYxwOPk1FtTWD0Z2TQbmDaWEoMmfNdb+8kuNOcezEQbSoP b0ZPO22Wv2hyLUFgV1jujFzqUooyoTGgGVcbqSbiwNqqbNRaaS/Fw8U+WLzaXxaZ2MK+vEat m5sTQCZPoxZYhmulcdpE9ozam6pisfBBNNf1AJK16l8foJNUjeSjkYwdr4tmoDuT8UaO37dV LvCZATGkAdxYTmAdohEuL9zIsiYd3n7VGJ9Af8Cw8x6uRtcL1DuTpyPMIxUIvM4uOVUchDu9 UmyHe/BXQSemyyXXi8McbAM18ZMV5zzQnm0fR6p2KqZS0vdJ5fsLHoHqzW4/4ovZRcRcscBr 3/iSreL8NCCEpQZmU8LNy8PtglodoHk68mMl4rR+mOK7isvxdL2Dn5/5t1JsUhJfR82Ki9oH ba6x730eUhF3oYA1444HAXjApb0BID1Iay6oFNKbhrlSg1SZiCrBwDuetnLPxvX4X3gmB5i6 0ZOup/6lp3HGbbGnBP7kr84M/kEEmVVJbKy7Bzz85PjCCx71yIa/fVIJ8EnJmATMEbZqm6AS ueJsbd4w4c0RQTBHvUwU419kYllNNxJ1lsaQjcZByOb+ffu0/0PpL9j2mjs4bbSKK7zypiYx Iw967+sYImkIwX03EVJJaHGEMwQmCG6boRjZoicwjoPDOAIGHkXqNUcK8HorG9opQvuw7lK/ /dXbY/DeR2H6Ntz+edu/zu7h8eHrdva4+edtsx3M8hqs2rN0XCA6ySfT9FhEg8baSpxC1X4U QhBHOcH3lOlHsIjJxClU5stJziqNBPZ6uUnV2ZpclCXRfJi8zhUtUwYTI6cjRzRn6qhxGFF6 p466ErlYEr3YpVO1gSl2MMM2SisUnfBoR+SyXByfzEfPPlwEsIdJvSBx2nNgaL5s4iYmCsI/ NPc3VT4MEU2dKCGDryw002iMxfv+caNEifu7/ebnLH65h7UCVyz/fdo/zsRu93r/hKTobn9n MyVT45CJIN71nJ8cJkL9d3JUFtnN8ekRbWzpsFV86b7hGk+dRKR5emUaFuCF+OfXn/abIFNs ENqWEJPK3GXpydxtjK58WqPWkTNJa686cqmq5KNf+wtXO8RaEkEok7vdY98HkwaNYoqPWI2i Ep10faCiV6NMtRru6UGJqdNhkOHpSUgug9A1cU7I9fFRlC6I+i1Z4cf09Aem2iqiTGk98TNR rpJDExFn8NeXs1xFnHt2C8FY1AcE51VwQJwyvjbNYkoEZYsdqKoEopWK8JnxpTggaEul4T1L efzVm8O6HBWhp+7T26PzsKnfcSmGrVK5JxIGkTcB47neIGTomQVBVqwXqdqip1u6Jph7MASf Eas4yxhnOz2mqr1TFADnfPWiuCJKXuBfLyNJxK3w7i6VyCrOkeuIq/u5OeMLqKfLknPT329j 3i6s18ViZDXtLYjbzW6nY7eMu20SMt3w71tal96R58zzv/5r+qbBQE6IB0h3Lz9fn2f5+/OP zVY/d5pEnOlnc5W2YSlz6nq8aZsM4IiVN5MpixTk99OVpGmCtD5bkEme31NwrRjD65vyhuhP PGiCSv0Qv+6BVSegfggsGTPaGAcCuw+YrKfzZ7Pdw2svJRXt0KnJ7unh5W7/vu3s0SNtTJDm Qt4QWgFtH3n6sb3b/pltX9/3Ty+2qBKktYzhGWPsnq/UWQzPpwOdGBnzVEmdB/NQndUWsliZ a+wjSB7DLefUvuzWP3QK0/ErFkNKC1uuDZUYqMbbngTh8bmLoHZslU/dtJRqESUAdzqqBFLP 4wKyNIyDmznxqaZw6xAhQq4F83pOIwLmOoeifiHqlKVBJ+O4zaYFAHAmW+vBhcOVqE1v0yo2 jDHl75Nb8HOf5pqn/XFSB05n6noL7A8KBnca1iXP2zMy/fq2dVzb69/t9fx8kobP1MopNhXn Z5NEIVdUWp00q2BCACPPNN8g/G6Pf5fK9NHQtnZ5m1pT3SIEinBCUrLblSAJ17cMvmDSrZ4A D2tq3cWrcRLGanDWI6RHWIW+uepnmxdFOX5P4wDwnTRth44urQsReQZX/Kfr32henXVWyIiZ rFHE2kVAIKcO1osiry2t2WC6KEYKexs//z23TDU6BRnRoHoCy2BGXkqo4EFlkdno3uGdouH5 kvpMK3TVZ/8HC7X7dIrqAAA= --vkogqOf2sHV7VnPd--